Quality control membrane strip, image acquisition device calibration method, readable storage medium and equipment

Abstract

The application provides a quality control film strip, an image acquisition device calibration method, a readable storage medium and equipment. The quality control film strip comprises a base body. A temperature-sensitive coating is arranged on a part of the surface of the base body, and a plurality of gray blocks are arranged on another part of the surface of the base body. The setting gray levels of different gray blocks are different. The calibration method for the image acquisition device by using the quality control film strip can take into account the influence of the environmental temperature on the calibration result, improve the accuracy of the calibration result, and improve the consistency of the results when the calibration operation is performed multiple times. In addition, the calibration method can be executed by a control unit to avoid the intervention of human factors and improve the calibration speed.

Description

Technical Field

[0001] This invention belongs to the field of in vitro diagnostic technology, specifically relating to a quality control membrane strip, an image acquisition device calibration method, a readable storage medium, and a device. Background Technology

[0002] Immunoblot analyzers typically acquire images of the processed reaction kits using an image acquisition device, and then analyze these images to obtain results. The image acquisition device includes a light source and an image acquisition element. The light source provides illumination for image acquisition, and the image acquisition element is used to acquire the images. With the operating parameters of the light source and image acquisition element kept constant, the luminous flux illuminating the reaction kit decreases as the luminous efficiency of the light source decays. This leads to a reduction in the brightness of the acquired reaction kit images, and consequently, errors in the analytical results obtained based on the reaction kit images.

[0003] Image acquisition devices are typically calibrated using standard quality control membrane strips to ensure that the brightness of the reaction kits acquired by the device is generally uniform. However, existing calibration methods do not consider ambient temperature and cannot adapt to environmental changes. Therefore, after calibration, if the ambient temperature changes or the image acquisition device is used in different devices, causing a change in its operating temperature, the brightness of the images acquired before and after the temperature change will be inconsistent. Furthermore, existing calibration procedures are mostly based on operator experience, resulting in low efficiency and poor consistency. Summary of the Invention

[0004] The purpose of this invention is to provide a quality control membrane strip, an image acquisition device calibration method, a readable storage medium, and a device, aiming to improve the calibration efficiency and accuracy of the image acquisition device in in vitro diagnostic equipment.

[0005] To achieve the above objectives, the present invention provides a quality control membrane strip, comprising a substrate, wherein a temperature-sensitive coating is disposed on a portion of the surface of the substrate, and a plurality of grayscale blocks are disposed on another portion of the surface, wherein the grayscale blocks are configured with different grayscale values.

[0006] Optionally, the quality control membrane strip further includes a transparent protective film disposed on the surface of the grayscale block away from the substrate, and the protective film has a Vickers hardness greater than or equal to 2000 N / mm2.

[0007] Optionally, a photosensitive coating is provided on another portion of the surface of the substrate.

[0008] Optionally, the substrate includes a first substrate and a second substrate; a portion of the surface of the first substrate is provided with the temperature-sensitive coating, and another portion of the surface is provided with the photosensitive coating; a portion of the surface of the second substrate is provided with the grayscale block;

[0009] The second substrate is made of alumina ceramic or silicon nitride ceramic.

[0010] Optionally, the first substrate and the second substrate are stacked, and the first substrate has a through hole extending through the stacking direction of the first substrate and the second substrate;

[0011] The first substrate has the temperature-sensitive coating and the photosensitive coating on the surface of the side away from the second substrate, and the second substrate has the grayscale block on the surface of the portion corresponding to the through hole.

[0012] To achieve the above objectives, the present invention also provides a calibration method for an image acquisition device, the image acquisition device including a light source and an image acquisition element, the calibration method being performed based on the aforementioned quality control membrane strip, and including:

[0013] Step S1: Run the light source under the drive of an initial driving voltage, and make the image acquisition element acquire a first image and a second image, wherein the first image shows at least a portion of the temperature-sensitive coating, and the second image shows at least a portion of the grayscale block;

[0014] Step S2: Obtain the first measured grayscale value of the temperature-sensitive coating on the first image;

[0015] Step S3: Based on the first measured gray value, the first conversion relationship between the measured gray value of the temperature-sensitive coating and temperature, the second conversion relationship between temperature and the power of the light source, and the initial driving voltage, obtain the initial driving current of the light source;

[0016] Step S4: Obtain the second measured gray level of any specified gray level block on the second image;

[0017] Step S5: Obtain the target driving current of the light source based on the current driving current of the light source, the latest measured grayscale value of the second light source, and the set grayscale value of the specified grayscale block on the latest acquired second image.

[0018] Step S6: Run the light source under the newly acquired target driving current, and re-acquire the second image by the image acquisition element;

[0019] Step S7: Obtain the second measured gray level of any specified gray level block on the latest acquired second image;

[0020] Step S8: Obtain the percentage deviation between the latest acquired second measured grayscale and the set grayscale of the specified grayscale block on the latest acquired second image;

[0021] Step S9: Determine whether the latest obtained deviation percentage is within the set range. If not, return to step S5 and subsequent steps.

[0022] Optionally, the calibration method further includes the following steps performed after the determination result of step S9 is yes:

[0023] Step S10: Determine whether the latest acquired target driving current is less than or equal to the current threshold. If yes, determine that the calibration method has been completed. If no, proceed to steps S11 to S17.

[0024] Step S11: Adjust the driving voltage of the light source so that the driving current of the light source is equal to the current threshold; and make the image acquisition element re-acquire the second image;

[0025] Step S12: Obtain the second measured gray level of any specified gray level block on the latest acquired second image;

[0026] Step S13: Based on the exposure time of the image acquisition element when acquiring the latest second image, the latest acquired second measured grayscale, and the set grayscale of the specified grayscale block on the latest acquired second image, obtain the target exposure time;

[0027] Step S14: The image acquisition element re-acquires the second image based on the latest acquired target exposure time;

[0028] Step S15: Obtain the second measured gray level of any specified gray level block on the latest acquired second image;

[0029] Step S16: Obtain the percentage deviation between the latest acquired second measured grayscale and the set grayscale of the specified grayscale block on the latest acquired second image;

[0030] Step S17: Determine whether the latest obtained deviation percentage is within the preset range. If not, return to step S13 and subsequent steps.

[0031] To achieve the above objectives, the present invention also provides another calibration method for an image acquisition device, the image acquisition device comprising a light source and an image acquisition element, characterized in that the calibration method is performed based on the quality control membrane strip as described above, and includes:

[0032] Step S1: Run the light source under the drive of an initial driving voltage, and make the image acquisition element acquire a first image and a second image, wherein the first image shows at least a portion of the temperature-sensitive coating, and the second image shows at least a portion of the grayscale block;

[0033] Step S2: Obtain the first measured grayscale value of the temperature-sensitive coating on the first image;

[0034] Step S3: Based on the first measured gray value, the first conversion relationship between the measured gray value of the temperature-sensitive coating and temperature, the second conversion relationship between temperature and the power of the light source, and the initial driving voltage, obtain the initial driving current of the light source;

[0035] Step S4: Obtain the second measured gray level of any specified gray level block on the second image;

[0036] Step S5: First, correct the latest measured grayscale value based on the first measured grayscale value and the predetermined correction coefficient to obtain the correction value of the latest measured grayscale value; then, obtain the target driving current of the light source based on the current driving current of the light source, the correction value of the latest measured grayscale value, and the set grayscale value of the specified grayscale block on the latest acquired second image.

[0037] Step S6: Run the light source under the newly acquired target driving current, and re-acquire the second image by the image acquisition element;

[0038] Step S7: Obtain the second measured gray level of any specified gray level block on the latest acquired second image;

[0039] Step S8: First, based on the first measured gray level and the correction coefficient, the newly acquired second measured gray level is corrected to obtain the correction value of the newly acquired second measured gray level; then, the percentage deviation between the correction value of the newly acquired second measured gray level and the set gray level of the specified gray level block on the newly acquired second image is obtained.

[0040] Step S9: Determine whether the latest obtained deviation percentage is within the set range. If not, return to step S5 and subsequent steps.

[0041] Optionally, the calibration method further includes the following steps performed after the determination result of step S9 is yes:

[0042] Step S10: Determine whether the latest acquired target driving current is less than or equal to the current threshold. If yes, determine that the calibration method has been completed. If no, proceed to steps S11 to S17.

[0043] Step S11: Adjust the driving voltage of the light source so that the driving current of the light source is equal to the current threshold; and make the image acquisition element re-acquire the second image;

[0044] Step S12: Obtain the second measured gray level of any specified gray level block on the latest acquired second image;

[0045] Step S13: First, correct the latest measured grayscale based on the first measured grayscale and the correction coefficient to obtain the correction value of the latest measured grayscale; then, based on the exposure time of the image acquisition element when acquiring the latest second image, the correction value of the latest measured grayscale, and the set grayscale of the specified grayscale block on the latest acquired second image, obtain the target exposure time.

[0046] Step S14: The image acquisition element re-acquires the second image based on the latest acquired target exposure time;

[0047] Step S15: Obtain the second measured gray level of any specified gray level block on the latest acquired second image;

[0048] Step S16: First, based on the first measured gray level and the correction coefficient, the newly acquired second measured gray level is corrected to obtain the correction value of the newly acquired second measured gray level; then, the percentage deviation between the correction value of the newly acquired second measured gray level and the set gray level of the specified gray level block on the newly acquired second image is obtained.

[0049] Step S17: Determine whether the latest obtained deviation percentage is within the preset range. If not, return to step S13 and subsequent steps.

[0050] Optionally, the calibration method further includes the following steps performed after the determination result in step S17 is yes:

[0051] Step S18: Determine whether the latest obtained target exposure time is less than or equal to the exposure time threshold. If yes, determine that the calibration method has been completed. If no, generate and display alarm information.

[0052] Optionally, the step of obtaining the initial driving current of the light source based on the first measured gray value, the first conversion relationship between the measured gray value of the temperature-sensitive coating and temperature, the second conversion relationship between temperature and the power of the light source, and the initial driving voltage includes:

[0053] The current ambient temperature is obtained based on the first measured grayscale value and the first conversion relationship;

[0054] Based on the current ambient temperature and the second conversion relationship, the initial nominal power of the light source when operating at the initial driving voltage is obtained;

[0055] The temperature drift coefficient of the light source is obtained based on the second conversion relationship;

[0056] The initial actual power is obtained based on the initial nominal power and the temperature drift coefficient;

[0057] The initial drive current is obtained based on the initial actual power and the initial drive voltage.

[0058] Optionally, a photosensitive coating is provided on another portion of the surface of the substrate;

[0059] The calibration method further includes the following steps performed prior to step S1:

[0060] Step S01: Turn off the light source and enable the image acquisition element to acquire a third image, the third image showing at least a portion of the photosensitive coating;

[0061] Step S02: Obtain the third measured grayscale of the photosensitive coating on the third image;

[0062] Step S03: Determine whether the third measured grayscale is greater than a preset grayscale threshold. If yes, determine that when acquiring the first image and the second image, a light-shielding device is used to cover the image acquisition element, and at least the portion of the quality control film strip including the grayscale block and the temperature-sensitive coating is covered. If no, determine that when acquiring the first image and the second image, a light-shielding device is not used to cover the light source and the portion of the quality control film strip including the grayscale block and the temperature-sensitive coating.

[0063] To achieve the above objectives, embodiments of the present invention also provide a computer-readable storage medium having a program stored thereon, which, when the program is executed, performs a calibration method for an image acquisition device as described in any of the preceding claims.

[0064] To achieve the above objectives, embodiments of the present invention also provide an electronic device, including a processor and a memory connected in communication, wherein the memory stores a program, and the processor is used to execute the program, wherein when the program is executed, a calibration method for an image acquisition device as described in any of the preceding claims is performed.

[0065] To achieve the above objectives, embodiments of the present invention also provide an in vitro diagnostic device, including an image acquisition device and a control unit. The image acquisition device includes a light source and an image acquisition element. The control unit is communicatively connected to the light source and the image acquisition element and is configured to perform a calibration method for the image acquisition device as described in any of the preceding claims.

[0066] Compared with the prior art, the quality control membrane strip, image acquisition device calibration method, readable storage medium and device of the present invention have the following advantages:

[0067] The aforementioned quality control membrane strip includes a substrate, on which a temperature-sensitive coating is disposed on a portion of the surface and multiple grayscale blocks are disposed on another portion of the surface, with different grayscale blocks having different grayscale values. The steps for performing a calibration method on an image acquisition device using the quality control membrane strip include: Step S1, operating the light source under an initial driving voltage, and causing the image acquisition element to acquire a first image and a second image, the first image displaying at least a portion of the temperature-sensitive coating and the second image displaying at least a portion of the grayscale blocks; Step S2, obtaining a first measured grayscale value of the temperature-sensitive coating on the first image; Step S3, obtaining an initial driving current of the light source based on the first measured grayscale value, a first conversion relationship between the measured grayscale value of the temperature-sensitive coating and temperature, a second conversion relationship between temperature and the power of the light source, and the initial driving voltage; Step S4, obtaining a second measured grayscale value of any specified grayscale block on the second image; Step S5 S5. Obtain the target driving current of the light source based on the current driving current of the light source, the latest acquired second measured grayscale, and the set grayscale of the specified grayscale block on the latest acquired second image; Step S6. Run the light source under the drive of the latest acquired target driving current, and re-acquire the second image by the image acquisition element; Step S7. Obtain the second measured grayscale of any specified grayscale block on the latest acquired second image; Step S8. Obtain the percentage deviation between the latest acquired second measured grayscale and the set grayscale of the specified grayscale block on the latest acquired second image; Step S9. Determine whether the latest acquired percentage deviation is within the set range. If not, return to step S5 and subsequent steps. This calibration method takes into account the influence of ambient temperature and avoids reliance on operator experience, improving calibration efficiency, accuracy of calibration results, and consistency of results when multiple calibration operations are performed. The calibration method can also be automatically executed by a control device to further avoid the influence of human factors on calibration efficiency and calibration results.

[0068] Another calibration method for an image acquisition device based on the quality control membrane strip includes: Step S1, operating the light source under an initial driving voltage, and acquiring a first image and a second image, wherein the first image displays at least a portion of the temperature-sensitive coating, and the second image displays at least a portion of the grayscale block; Step S2, acquiring a first measured grayscale value of the temperature-sensitive coating on the first image; Step S3, acquiring an initial driving current of the light source based on the first measured grayscale value, a first conversion relationship between the measured grayscale value of the temperature-sensitive coating and temperature, a second conversion relationship between temperature and the power of the light source, and the initial driving voltage; Step S4, acquiring a second measured grayscale value of any specified grayscale block on the second image; Step S5, first correcting the newly acquired second measured grayscale value based on the first measured grayscale value and a predetermined correction coefficient to obtain a correction value for the newly acquired second measured grayscale value; then... Based on the current driving current of the light source, the newly acquired correction value of the second measured grayscale, and the set grayscale of the specified grayscale block on the newly acquired second image, the target driving current of the light source is obtained; Step S6: The light source is driven by the newly acquired target driving current, and the image acquisition element is re-acquired for the second image; Step S7: The second measured grayscale of any specified grayscale block on the newly acquired second image is obtained; Step S8: The newly acquired second measured grayscale is first corrected based on the first measured grayscale and the correction coefficient to obtain the correction value of the newly acquired second measured grayscale; then the percentage deviation between the correction value of the newly acquired second measured grayscale and the set grayscale of the specified grayscale block on the newly acquired second image is obtained; Step S9: It is determined whether the newly acquired percentage deviation is within the set range. If not, the process returns to step S5 and subsequent steps. This calibration method can eliminate the interference caused by the color change of the temperature-sensitive coating on the optical signal of the grayscale block during image acquisition, thereby improving the reliability of calibration. Attached Figure Description

[0069] The accompanying drawings are provided to better understand the invention and are not intended to unduly limit the scope of the invention. Wherein:

[0070] Figure 1 This is a schematic diagram of the structure of the quality control membrane strip provided by the present invention according to an embodiment;

[0071] Figure 2 This is a schematic diagram of the structure of the quality control membrane strip provided according to an embodiment of the present invention. Figure 2 and Figure 1 The observation directions are different;

[0072] Figure 3This is an exploded view of the quality control membrane strip provided according to an embodiment of the present invention;

[0073] Figure 4 This is a flowchart of a calibration method for an image acquisition device provided according to an embodiment of the present invention, showing steps S01 to S04 and steps S1 to S9.

[0074] Figure 5 This is a graph showing the relationship between the measured grayscale and temperature of the temperature-sensitive coating used in step S7a of the calibration method for the image acquisition device provided according to an embodiment of the present invention.

[0075] Figure 6 This is a graph showing the relationship between the power and temperature of a light source used in the calibration method of an image acquisition device provided according to an embodiment of the present invention.

[0076] Figure 7 This is a partial flowchart of a calibration method provided by the present invention according to an embodiment, showing steps S10 to S19.

[0077] Figure 8 This is a flowchart of a calibration method for an image acquisition device according to another embodiment of the present invention, showing steps S01 to S04 and steps S1 to S9.

[0078] Figure 9 This is a partial flowchart of a calibration method provided by the present invention according to another embodiment, showing steps S10 to S19.

[0079] [The following are explanations of the reference numerals in the attached figures]: 100-quality control membrane strip, 110-substrate, 111-first substrate, 1111-through hole, 112-second substrate, 120-temperature-sensitive coating, 130-grayscale block, 140-photosensitive coating. Detailed Implementation

[0080] The following specific examples illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the illustrations provided in this embodiment are only schematic representations of the basic concept of the present invention. Therefore, the drawings only show components related to the present invention and are not drawn according to the actual number, shape, and size of components in the actual implementation. In the actual implementation, the type, quantity, and proportion of each component can be arbitrarily changed, and the component layout may also be more complex.

[0081] Furthermore, while each embodiment described below possesses one or more technical features, this does not imply that users of the present invention must simultaneously implement all technical features in any embodiment, or can only separately implement some or all technical features in different embodiments. In other words, provided it is feasible, those skilled in the art can, based on the disclosure of the present invention and depending on design specifications or implementation requirements, selectively implement some or all technical features in any embodiment, or selectively implement a combination of some or all technical features in multiple embodiments, thereby increasing the flexibility in implementing the present invention.

[0082] As used herein, the singular forms “a,” “an,” and “the” include plural objects, and the plural form “a plurality” includes two or more objects, unless otherwise expressly indicated. As used herein, the term “or” is generally used to include the meaning of “and / or,” unless otherwise expressly indicated, and the terms “installed,” “connected,” and “linked” should be interpreted broadly, for example, as a fixed connection, a detachable connection, or an integral connection. Connections can be mechanical or electrical. Connections can be direct or indirect through an intermediate medium, and can represent internal communication between two elements or an interaction between two elements. Relational terms such as “first,” “second,” etc., are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Those skilled in the art will understand the specific meaning of these terms in this invention based on the specific circumstances.

[0083] One objective of this invention is to provide a quality control membrane strip that can be used to calibrate the image acquisition device of an in vitro diagnostic equipment.

[0084] A second objective of this invention is to provide a calibration method for an image acquisition device, the calibration method being based on the aforementioned quality control membrane strip. This calibration method can significantly improve the calibration efficiency, accuracy of calibration results, and consistency of results when multiple calibration operations are performed on the image acquisition device.

[0085] To make the objectives, advantages, and features of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings. It should be noted that the drawings are all in a very simplified form and use non-precise proportions, and are only used to facilitate and clearly illustrate the objectives of the embodiments of the present invention. The same or similar reference numerals in the drawings represent the same or similar parts.

[0086] Figure 1 and Figure 2 The diagram shows schematic representations of the structure of the quality control membrane strip 100 provided in some embodiments of the present invention in different orientations. For example... Figure 1 and Figure 2 As shown, the quality control membrane strip 100 includes a substrate 110. A temperature-sensitive coating 120 is provided on a part of the surface of the substrate 110, and a plurality of gray blocks 130 are provided on another part of the surface, and the gray blocks 130 are set with different gray levels.

[0087] The quality control membrane strip 100 can be used for the calibration of the image acquisition device of an in vitro diagnostic equipment. The color of the temperature-sensitive coating 120 changes with temperature, and correspondingly, the grayscale of the image of the temperature-sensitive coating 120 changes with temperature. Therefore, when calibrating the image acquisition device, by capturing an image of the temperature-sensitive coating 120 and obtaining its grayscale, the ambient temperature during the calibration operation can be determined, thus taking into account the impact of ambient temperature on calibration accuracy. The in vitro diagnostic equipment here can be based on immunoblotting or colloidal gold methods. Specific calibration procedures will be detailed later.

[0088] It is easy to understand that the temperature-sensitive coating includes temperature-sensitive materials, such as vanadium dioxide nanoparticles.

[0089] More preferably, a photosensitive coating 140 is further disposed on a portion of the surface of the substrate 110. The photosensitive coating 140 is used to determine the influence of stray light in the calibration environment on the calibration operation during the calibration process, and thus determine whether it is necessary to construct a darkroom environment to avoid stray light from adversely affecting the calibration results. The photosensitive coating 140 includes a photosensitive material, such as diarylethylene.

[0090] Optionally, in this embodiment of the invention, the substrate 110 includes a first substrate 111 and a second substrate 112. Preferably, the first substrate 111 and the second substrate 112 are stacked, and as shown... Figure 3 As shown, the first substrate 111 has a through hole 1111 extending through the stacking direction of the first substrate 111 and the second substrate 112. A portion of the surface of the first substrate 111 facing away from the second substrate 112 has the temperature-sensitive coating 120 formed on it, and another portion has the photosensitive coating 140 formed on it. The surface of the second substrate 112 corresponding to the through hole 1111 has the grayscale block 130. This arrangement allows the image acquisition device to simultaneously acquire images of at least a portion of the temperature-sensitive coating 120, at least a portion of the grayscale block 130, and at least a portion of the photosensitive coating 140.

[0091] The number of grayscale blocks 130 is multiple, and the specific number is determined according to the actual situation. Multiple grayscale blocks 130 are arranged in an array on the surface of the second substrate 112, for example, in a 1×n matrix or a p×q matrix, where n, p, and q are all integers greater than 1. It is easy to understand that n equals the number of grayscale blocks 130, and the product of p and q also equals the number of grayscale blocks 130. Optionally, different grayscale blocks 130 may be configured with varying grayscale gradients.

[0092] Preferably, the second substrate 112 is made of alumina ceramic or silicon nitride ceramic. This gives the second substrate 112 a low coefficient of thermal expansion and good chemical corrosion resistance, effectively preventing deformation of the quality control membrane strip 100 caused by temperature and humidity changes.

[0093] Preferably, the quality control membrane strip 100 further includes a transparent protective film (not shown in the figure), which is disposed on the surface of the grayscale block 130 away from the substrate 110, and the protective film has a Vickers hardness greater than or equal to 2000 N / mm. 2 This gives the protective film good abrasion resistance, reducing the possibility of scratches. In an optional embodiment, the protective film is a DLC film with a thickness of 2μm to 5μm.

[0094] When the material of the second substrate 112 is alumina ceramic or silicon nitride ceramic, and the quality control membrane strip 100 also includes the protective membrane, the service life of the quality control membrane strip 100 is significantly improved, and its actual service life can reach more than 6 years. At the same time, the improvement in its stability can also effectively ensure the calibration accuracy.

[0095] For ease of description, the second substrate 112 and the grayscale block 130 and the protective film thereon will be collectively referred to as the basic module.

[0096] Those skilled in the art will know that the workflow of any in vitro diagnostic device, whether based on immunoblotting or colloidal gold, may include: acquiring images of the reagent kit using the image acquisition device, and then performing qualitative or quantitative analysis of the test results using the grayscale values ​​of the reagent kit images.

[0097] The brightness of the image in the reagent kit is one of the factors affecting its grayscale value. The image acquisition device includes a light source and an image acquisition element. The calibration method refers to calibrating the operating parameters of the image acquisition device, such as the driving current of the light source, or the driving current of the light source and the exposure time of the image acquisition element, so that the images acquired by the image acquisition device have substantially the same brightness.

[0098] After the operating parameters of the image acquisition device are calibrated, the brightness of the image acquired by the image acquisition device meets the preset requirements. In the calibration method of the image acquisition device based on the quality control membrane strip 100 in this embodiment of the invention, when the percentage deviation between the measured grayscale (or the correction value of the measured grayscale) of any specified grayscale block 130 in the second image (i.e., the second image displays at least a portion of the grayscale blocks 130) acquired by the image acquisition device and the set grayscale of the specified grayscale block 130 is within a preset range, the brightness of the image acquired by the image acquisition device meets the preset requirements. The preset range is set as needed, for example, less than 5%.

[0099] When the quality control membrane strip 100 includes the photosensitive coating 140, in the first embodiment of the present invention, as... Figure 4 As shown, the calibration method flow is as follows, including:

[0100] Step S01: With the light source off, the image acquisition element is operated with the first parameters and a third image is acquired. The third image, as described herein, shows at least a portion of the photosensitive coating 140.

[0101] Step S02: Obtain the third measured grayscale of the photosensitive coating 140 on the third image.

[0102] Step S03: Determine whether the third measured grayscale is greater than the preset grayscale threshold. If yes, execute step S04 and subsequent steps; if no, skip step S04 and execute step S1 and subsequent steps.

[0103] Step S04: Construct a darkroom environment, that is, cover the image acquisition device with a light-shielding device, and cover at least the portion of the quality control film strip 100 including the grayscale block 130 and the temperature-sensitive coating 120 with the light-shielding device.

[0104] Step S1: The light source is operated under an initial driving voltage; and the image acquisition element is operated with second parameters and acquires a first image and a second image. The first image, as described herein, shows at least a portion of the temperature-sensitive coating 120, and the second image shows at least a portion of the grayscale block 130.

[0105] Step S2: Obtain the first measured grayscale of the temperature-sensitive coating 120 on the first image.

[0106] Step S3: Based on the first measured grayscale, the first conversion relationship between the measured grayscale and temperature of the temperature-sensitive coating 120 (e.g., ... Figure 5As shown), a second conversion relationship between temperature and the power of the light source (as shown). Figure 6 As shown in the figure), and the initial driving voltage, the initial driving current of the light source is obtained.

[0107] Step S4: Obtain the second measured gray level of any specified gray block 130 on the second image.

[0108] Step S5: Based on the current driving current of the light source, the latest acquired second measured grayscale, and the set grayscale of the specified grayscale block 130 on the latest acquired second image, obtain the target driving current of the light source.

[0109] Step S6: Run the light source under the newly acquired target driving current, and run the image acquisition element with the second parameters and re-acquire the second image.

[0110] Step S7: Obtain the second measured gray level of any specified gray level block 130 on the latest acquired second image.

[0111] Step S8: Obtain the percentage deviation between the latest acquired second measured grayscale and the set grayscale of the specified grayscale block on the latest acquired second image.

[0112] Step S9: Determine whether the deviation percentage is within the set range. If not, return to execute step S5 and subsequent steps.

[0113] The first parameter in step S01 includes: first exposure time, first aperture value, and first gain value.

[0114] Step S02 can be performed in any suitable manner in the prior art.

[0115] The grayscale threshold in step S03 is set as needed, and the grayscale threshold is related to the first exposure time. This is because the grayscale of the image is related to the brightness of the image, and the brightness of the image is related to the exposure time of the image acquisition element.

[0116] It is understood that when the third measured gray level is greater than the gray level threshold, it indicates that stray light in the environment interferes with the reliability of the calibration of the image acquisition device. Therefore, step S04 needs to be executed to use the light-shielding device to isolate stray light in the environment and avoid adverse effects on the calibration of the image acquisition device. When the third measured gray level is less than or equal to the gray level threshold, it indicates that the impact of stray light in the environment on the reliability of calibration is negligible.

[0117] When the quality control membrane strip 100 is constructed including a first substrate 111 and a second substrate 112 stacked together, and the temperature-sensitive coating 120 and the photosensitive coating 140 are disposed on the surface of the first substrate 111 facing away from the second substrate 112, and the grayscale block 130 is disposed on the surface of the second substrate 112 corresponding to the through hole 1111 on the first substrate 111, in step S04, it is preferable that the light-shielding device covers the entire quality control membrane strip 100.

[0118] It is understood that if the quality control membrane strip 100 does not include the photosensitive coating 140, steps S01 to S04 do not need to be performed.

[0119] When the first substrate 111 and the second substrate 112 of the quality control membrane strip 100 are as follows Figures 1 to 3 When the layers are stacked in that way, in step S1, the image acquisition element can acquire a target image, and the target image displays at least a portion of the temperature-sensitive coating and at least a portion of the grayscale block 130. That is, the target image is both the first image and the second image, or the first image and the second image are on the same target image.

[0120] The second parameter includes a second exposure time, a second aperture value, and a second gain value. The second parameter may be the same as or at least partially different from the first parameter, and this embodiment of the invention does not limit this.

[0121] Step S2 can be performed in any suitable manner according to the prior art.

[0122] Step S3 may specifically include:

[0123] Step S3a: Obtain the current ambient temperature based on the first measured grayscale and the first conversion relationship.

[0124] Step S3b: Obtain the initial nominal power of the light source when it is driven by the initial driving voltage, based on the current ambient temperature and the second conversion relationship.

[0125] Step S3c: Obtain the temperature drift coefficient of the light source according to the second conversion relationship.

[0126] Step S3d: Obtain the initial actual power of the light source when it is driven by the initial driving voltage, based on the initial nominal power and the temperature drift coefficient.

[0127] Step S3e: Obtain the initial drive current based on the initial actual power and the initial drive voltage.

[0128] The first transformation relationship in step S3a is obtained in advance through calibration. The specific calibration method is well-known to those skilled in the art and will not be elaborated here. Furthermore, the calibration method for the image acquisition device provided in this embodiment may also include the step of obtaining the first transformation relationship.

[0129] The second conversion relationship in step S3b can be obtained by the operator through pre-calibration, and the specific calibration method is well known in the art and will not be elaborated here. Alternatively, the second conversion relationship can be obtained directly from the factory information of the light source.

[0130] The specific operation of step S3c is something that can be known to those skilled in the art, and will not be described in detail here.

[0131] The step S3d is performed based on the following equation (1):

[0132] (1),

[0133] In equation (1), P1 represents the initial actual power, P0 represents the initial nominal power, α represents the temperature drift coefficient, and ΔT represents the difference between the current ambient temperature and the standard operating temperature. The standard operating temperature is defined by the operator according to the actual situation, for example, 25℃.

[0134] Those skilled in the art will know that the power of the light source is equal to the product of the driving voltage and the driving current of the light source. Therefore, the calculation formula in step S7e is as follows: (2)

[0135] (2),

[0136] In equation (2), U0 represents the initial driving voltage, I 00 This represents the initial drive current.

[0137] Step S4 can be performed in any suitable manner according to the prior art.

[0138] If the second image displays all of the grayscale blocks 130, the grayscale setting for each grayscale block 130 on the second image can be directly determined using the manufacturer's instructions for the quality control membrane strip 100. In other words, the grayscale setting for the specified grayscale block 130 on the second image in step S5 can be directly obtained by reading the manufacturer's instructions for the quality control membrane strip 100. If the second image displays only a portion of the grayscale blocks 130, the grayscale setting for the specified grayscale block 130 on the second image can be obtained according to a pre-obtained first linear equation.

[0139] The first linear equation is: when the light source is running under the current driving current and the image acquisition element is working under the second parameter, it shows the conversion relationship between the measured gray level of each gray level block 130 in the image of all gray level blocks 130 and the set gray level of each gray level block 130.

[0140] When step S5 is executed for the first time, the "current driving current" of the light source is the initial driving current. When step S5 is executed for the (1+i)th time, the "current driving current" of the light source is the target driving current obtained when step S5 is executed for the i-th time, where i is an integer greater than or equal to 1.

[0141] The linear correlation of the first linear equation is greater than or equal to 0.99. The first linear equation can be obtained by calibrating the base module. The calibration operation of the base module is the same as the calibration operation of the quality control membrane strip in the prior art, and will not be described in detail here. Furthermore, the calibration method of the image acquisition device in this embodiment of the invention may also include the step of obtaining the first linear equation.

[0142] In some embodiments, the second image displays m grayscale blocks 130, and the m grayscale blocks 130 in the second image are arranged in a 1×m array. When m is an odd number greater than 1 and less than or equal to n, it is preferable to arrange the grayscale blocks 130 located at the nth position in the array. The measured grayscale of the grayscale block in the column is used as the second measured grayscale.

[0143] Furthermore, when step S5 is executed for the first time, "the latest acquired second measured grayscale" in step S5 refers to the second measured grayscale acquired in step S4, and "the latest acquired second image" refers to the second image obtained in step S1. When step S5 is executed for the (1+i)th time, "the latest acquired second measured grayscale" in step S5 refers to the second measured grayscale obtained when step S7 is executed for the i-th time, and "the latest acquired second image" refers to the second image obtained when step S6 is executed for the i-th time.

[0144] Step S5 is performed based on the following formula (3):

[0145] (3),

[0146] In equation (3), I adj This represents the target drive current. The value represents the current driving current of the light source, and ΔG represents the percentage deviation between the second measured gray level of the specified gray block 130 in the most recently acquired second image and the set gray level of the specified gray block in the most recently acquired second image. , G represents the latest acquired second measured grayscale value. ref This indicates the set gray level of the specified gray block 130 in the second image, k. p It is a constant.

[0147] When step S6 is executed for the i-th time, the "latest acquired target drive current" mentioned in step S6 refers to the target drive current calculated when step S5 is executed for the i-th time.

[0148] Step S6 is achieved by adjusting the driving voltage of the light source. The driving voltage of the light source in step S6 is calculated based on the target driving current, the initial driving voltage, and the initial driving current. The specific calculation method is well known in the art and will not be elaborated here.

[0149] It is easy to understand that if the target driving current calculated in step S5 is greater than the rated current of the light source, step S6 cannot be executed; otherwise, the light source may be damaged due to current overload. Therefore, the calibration method may further include step S05 (not shown in the figure) executed between step S5 and step S6. Step S05 includes: determining whether the latest acquired target driving current is less than or equal to the rated current of the light source; if so, executing step S6; if not, determining that the calibration has failed, and generating and displaying a first prompt message to prompt the operator. The first prompt message can be displayed in any suitable manner, such as sound, light, or text.

[0150] When step S7 is executed for the i-th time, "the latest acquired second image" in step S7 refers to the second image obtained when step S6 is executed for the i-th time. Step S7 can be executed in any suitable manner in the prior art.

[0151] When step S8 is executed for the i-th time, the "latest acquired second measured grayscale" in step S8 refers to the second measured grayscale obtained when step S7 is executed for the i-th time, and the "latest acquired second image" refers to the second image obtained when step S6 is executed for the i-th time. The method for obtaining the "set grayscale of the grayscale block 130 specified on the latest acquired second image" in step S8 can be referred to the previous description, and will not be repeated here. Furthermore, it can be understood that the calculation result of step S8 is ΔG.

[0152] When step S9 is executed for the i-th time, the "latest obtained deviation percentage" in step S9 refers to the deviation percentage obtained when step S8 is executed for the i-th time.

[0153] In some embodiments, when the determination result of step S9 is yes, the calibration method is determined to be completed. Furthermore, in the subsequent operation of the image acquisition device, the target driving current obtained during the last execution of step S5 will be used as the operating current of the light source, and the second parameter will be used as the operating parameter of the image acquisition element.

[0154] Steps S01 to S9 can all be automatically executed by a single control unit. This reduces human intervention in the calibration process of the image acquisition device, improves calibration accuracy and result consistency, and significantly reduces brightness differences in images acquired by the same image acquisition device when used across different devices, by considering the influence of stray light and temperature in the environment on the calibration results. It is easy to understand that when the image acquisition device is used across different devices, the temperature and stray light in the operating environment of the image acquisition device may change before and after the application.

[0155] In a further improvement, this embodiment of the invention also defines a current threshold, which is, for example, 90% of the rated current of the light source. Furthermore, when the determination result of step S9 is yes, the calibration method does not end at step S09, but also includes step S10 (e.g., ...) executed after the determination result of step S9 is yes. Figure 7 As shown in the figure, step S10 includes: determining whether the "latest acquired target drive current" is less than or equal to the current threshold. The "latest acquired target drive current" in step S10 is the target drive current acquired during the last execution of step S5.

[0156] If the determination result of step S10 is yes, then the calibration method is determined to be completed, and in the subsequent operation of the in vitro diagnostic device, the target driving current obtained from the last execution of step S5 is used as the driving current of the light source, and the second parameter is used as the operating parameter of the image acquisition element.

[0157] If the result of step S10 is negative, please continue to refer to [the relevant documentation]. Figure 7 The calibration method further includes the following steps S11 to S17 performed after step S10.

[0158] Step S11 includes: adjusting the driving voltage of the light source so that the driving current of the light source is the current threshold; and causing the image acquisition element to operate with the third parameter and re-acquire the second image.

[0159] Step S12 includes: acquiring the second measured gray level of any specified gray block 130 on the latest acquired second image.

[0160] Step S13 includes: obtaining the target exposure time based on the exposure time of the image acquisition element when acquiring the latest second image, the latest acquired second measured grayscale, and the set grayscale of the specified grayscale block 130 on the latest acquired second image.

[0161] Step S14 includes: causing the image acquisition element to re-acquire the second image based on the target exposure duration.

[0162] Step S15 includes: acquiring the second measured gray level of any specified gray block 130 on the latest acquired second image.

[0163] Step S16 includes: obtaining the percentage deviation between the latest acquired second measured grayscale and the set grayscale of the specified grayscale block 130 on the latest acquired second image.

[0164] Step S17 includes: determining whether the latest obtained deviation percentage is within the preset range.

[0165] If the judgment result of step S17 is negative, then return to execute step S13 and subsequent steps.

[0166] The driving voltage in step S11 is calculated based on the current threshold, the initial driving voltage, and the initial driving current. The third parameter includes a third exposure time, a third aperture value, and a third gain value. The third parameter may be the same as the second parameter or may be at least partially different.

[0167] The "newly acquired second image" in step S12 refers to the second image obtained by performing step S11. Step S12 can be performed in any suitable manner in the prior art.

[0168] When step S13 is executed for the first time, the "latest acquired second measured grayscale" in step S13 refers to the second measured grayscale obtained by executing step S12. Both "latest second image" and "latest acquired second image" refer to the second image obtained by executing step S11. Therefore, "exposure time when the image acquisition element acquires the latest second image" refers to the exposure time of the image acquisition element when executing step S11.

[0169] When step S13 is executed for the (1+i)th time, the “latest acquired second measured grayscale” in step S13 refers to the second measured grayscale obtained when step S15 is executed for the ith time. The “latest second image” and the “latest acquired second image” both refer to the second image obtained when step S14 is executed for the ith time. That is, the “exposure time when the image acquisition element acquires the latest second image” refers to the exposure time of the image acquisition element when step S14 is executed for the ith time.

[0170] In addition, the method for obtaining the grayscale setting of the specified grayscale block 130 on the newly acquired second image can be referred to the above description, and will not be repeated here.

[0171] Step S13 is performed based on the following equation (4):

[0172] (4),

[0173] In equation (4), Indicates the target exposure duration. k represents the exposure time of the image acquisition element when acquiring the latest second image. i It is a constant.

[0174] When step S14 is executed for the i-th time, the exposure time of the image acquisition device in step S14 is the target exposure time obtained in the previous step, i.e., when step S13 is executed for the i-th time.

[0175] It is easy to understand that when the target exposure duration obtained in step S13 is greater than the maximum exposure duration of the image acquisition element, step S14 cannot be executed. Here, the calibration method may further include step S06, executed between step S13 and step S14. Step S06 includes: determining whether the target exposure duration is less than or equal to the maximum exposure duration of the image acquisition element; if so, executing step S14; if not, determining calibration failure, and generating and displaying a second prompt message to alert the operator.

[0176] When step S15 is executed for the i-th time, the "latest acquired second image" in step S15 refers to the second image obtained when step S14 is executed for the i-th time. Step S15 can be executed in any suitable manner in the prior art.

[0177] When step S16 is executed for the i-th time, "the latest acquired second measured grayscale" in step S16 refers to the second measured grayscale obtained when step S15 is executed for the i-th time, and "the latest acquired second image" refers to the second image obtained when step S14 is executed for the i-th time. Furthermore, the method for obtaining "the set grayscale of the specified grayscale block 130 on the latest acquired second image" can be referred to the previous description and will not be repeated here. The calculation result of step S16 is ΔG.

[0178] When step S17 is executed for the i-th time, the "latest obtained deviation percentage" in step S17 refers to the deviation percentage obtained when step S16 is executed for the i-th time.

[0179] In some embodiments, when the determination result of step S17 is yes, the calibration method of the image acquisition device ends at step S17. Furthermore, in the subsequent operation of the image acquisition device, the current threshold is used as the operating current of the light source, and a fourth parameter is used as the operating parameter of the image acquisition element. The fourth parameter includes a fourth exposure duration, the third aperture value, and the third gain value. The fourth exposure duration is the target exposure duration obtained from the last execution of step S13.

[0180] In other words, in this embodiment of the invention, when the target driving current is less than or equal to the current threshold, the brightness of the image acquired by the image acquisition element can be improved simply by increasing the driving current of the light source. When the target driving current is greater than the current threshold, the brightness of the image acquired by the image acquisition element can be improved by increasing the driving current of the light source and extending the exposure time of the image acquisition element. This is because when the light source ages, although the brightness of the image acquired by the image acquisition element can be increased by increasing the driving current of the light source, the driving current of the light source cannot be increased indefinitely, otherwise the light source will be damaged due to current overload.

[0181] In a further improvement, this embodiment of the invention defines an exposure duration threshold, which is determined based on actual conditions, for example, 90% of the maximum exposure duration of the image acquisition element. The calibration method further includes a step S18 executed after the determination result of step S17 is yes. Step S18 includes determining whether the most recently acquired target exposure duration is less than or equal to the exposure duration threshold. The "most recently acquired target exposure duration" in step S18 refers to the target exposure duration obtained during the last execution of step S13.

[0182] If the determination result of step S18 is yes, then the calibration method is determined to be completed, and in the subsequent operation of the in vitro diagnostic device, the current threshold is used as the driving current of the light source, and the fourth parameter is used as the operating parameter of the image acquisition element.

[0183] If the judgment result of step S18 is negative, the calibration method further includes step S19, which includes generating and displaying alarm information.

[0184] Those skilled in the art will understand that as the exposure time of the image acquisition element increases, the number of noise points in the image acquired by the image acquisition element also increases, leading to a decrease in image quality. Therefore, the exposure time of the image acquisition element should not be too long.

[0185] Those skilled in the art will understand that if the driving current of the light source is the current threshold and the target exposure time obtained from the last execution of step S13 is greater than the exposure time threshold, it indicates that the light source is about to fail.

[0186] The alarm information here can be displayed in at least one way, such as sound, light, or text.

[0187] All steps of the calibration method for the image acquisition device provided in this embodiment of the invention can be automatically executed by a control unit, thereby reducing human intervention in the calibration operation of the image acquisition device, improving calibration accuracy and result consistency, reducing the calibration operation time of the image acquisition device to about 1 minute, and also reducing the brightness difference of images acquired by the same image acquisition device when used across devices to within ±5%.

[0188] In the second embodiment of the present invention, as Figure 8 As shown, the calibration method also includes steps S1 to S9, the difference being that step S5 and step S8 are different.

[0189] Step S5 in the calibration method provided in the second embodiment specifically includes: first, correcting the newly acquired second measured grayscale based on the first measured grayscale and a predetermined correction coefficient to obtain a corrected value for the newly acquired second measured grayscale. Then, obtaining the target driving current of the light source based on the current driving current of the light source, the corrected value of the newly acquired second measured grayscale, and the set grayscale of the specified grayscale block 130 on the newly acquired second image.

[0190] Step S8 in the calibration method provided in the second embodiment specifically includes: first, correcting the newly acquired second measured grayscale based on the first measured grayscale and the correction coefficient to obtain a correction value for the newly acquired second measured grayscale. Then, obtaining the percentage deviation between the correction value of the newly acquired second measured grayscale and the set grayscale of the specified grayscale block 130 on the newly acquired second image.

[0191] Furthermore, such as Figure 9 As shown, in the calibration method provided in the second embodiment, when the judgment result of step S9 is yes, the calibration method may further include steps S10 to S17, the difference being that step S13 and step S16 are different.

[0192] The calibration method provided in the second embodiment includes step S13, which specifically includes: first, correcting the latest acquired second measured grayscale based on the first measured grayscale and the correction coefficient to obtain a correction value for the latest acquired second measured grayscale. Then, based on the exposure time of the image acquisition element when acquiring the latest second image, the correction value of the latest acquired second measured grayscale, and the set grayscale of the specified grayscale block 130 on the latest acquired second image, the target exposure time is obtained.

[0193] The calibration method provided in the second embodiment includes step S16, which specifically includes: first, correcting the newly acquired second measured grayscale value based on the first measured grayscale and the correction coefficient; then, obtaining the percentage deviation between the newly acquired second measured grayscale correction value and the set grayscale of the specified grayscale block 130 on the newly acquired second image.

[0194] When the temperature-sensitive coating 120 and the grayscale block 130 are in the same imaging field of view, the optical signal corresponding to the temperature-sensitive coating 120 interferes with the optical signal corresponding to the grayscale block 130. This is particularly significant when the light source is a surface light source or a diffuse reflection light source. In other words, the temperature-sensitive coating 120 itself is a temperature-dependent and unstable "background noise source," introducing grayscale measurement errors into the grayscale block 130. In this embodiment, by correcting the second measured grayscale using the calibration coefficient, the measurement error caused by the temperature-sensitive coating 120 can be reduced or even eliminated, which is beneficial to further improving the accuracy of the calibration method.

[0195] In this embodiment, the operation of correcting the second measured grayscale in steps S5, S8, S13, and S16 is performed based on the following formula (5):

[0196] (5),

[0197] In formula (4), This represents the newly acquired correction value for the second measured grayscale. This represents the latest acquired second measured gray level, and K represents the correction coefficient. This represents the first measured gray level.

[0198] The operation of "obtaining the target driving current of the light source based on the current driving current of the light source, the correction value of the latest measured gray level, and the set gray level of the specified gray level block on the latest acquired second image" in step S5 is still performed based on the formula (3), but the value of ΔG is... .

[0199] The operation of "obtaining the target exposure time based on the exposure time of the image acquisition element when acquiring the latest second image, the correction value of the latest acquired second measured gray level, and the set gray level of the specified gray level block 130 on the latest acquired second image" in step S13 is still performed based on the formula (4), but the value of ΔG is... .

[0200] The correction coefficient is obtained based on the first measured grayscale of the temperature-sensitive coating 120 on multiple first images acquired at different temperatures, the second measured grayscale of each grayscale block 130 on multiple fourth images, and the fourth measured grayscale of each reference grayscale block on multiple fifth images. The fourth image displays all the grayscale blocks 130, and the fifth image displays all the reference grayscale blocks. The reference grayscale blocks correspond one-to-one with the grayscale blocks 130. The set grayscale of each reference grayscale block is the same as the set grayscale of the corresponding grayscale block 130. The acquisition temperatures of the multiple first images, multiple fourth images, and multiple fifth images correspond one-to-one. That is, one first image, one fourth image, and one fifth image are acquired at the first temperature; one first image, one fourth image, and one fifth image are acquired at the second temperature; and so on, one first image, one fourth image, and one fifth image are acquired at the j-th temperature, where j is an integer greater than 1, and the specific value of j is determined as needed.

[0201] In a specific example, when obtaining the correction coefficient, within a temperature range of 0℃ to 60℃, one first image, one fourth image, and one fifth image are acquired at 5℃ intervals. That is, one first image, one fourth image, and one fifth image are acquired at 0℃; one first image, one fourth image, and one fifth image are acquired at 5℃; one first image, one fourth image, and one fifth image are acquired at 10℃; one first image, one fourth image, and one fifth image are acquired at 15℃; one first image, one fourth image, and one fifth image are acquired at 20℃; one first image, one fourth image, and one fifth image are acquired at 25℃; and one first image, one fourth image, and one fifth image are acquired at 30℃. The process involves acquiring one first image, one fourth image, and one fifth image at different temperatures: 35°C, 40°C, 45°C, 50°C, 55°C, and 60°C. In other words, j = 13, resulting in the acquisition of 13 first images, 13 fourth images, and 13 fifth images. Of course, in other examples, the temperature range and temperature interval for acquiring the first, fourth, and fifth images can vary, for example, a temperature range of 10°C to 35°C with a temperature interval of 3°C, or a temperature range of 5°C to 40°C with a temperature interval of 4°C.

[0202] It is understood that when the second image displays all of the grayscale blocks 130, the fourth image can also be referred to as the second image, and when all of the grayscale blocks 130 are displayed on the target image, the first image and the fourth image acquired at the same temperature are located on the same target image.

[0203] The specific method for obtaining the correction coefficient can be defined by those skilled in the art, as long as it can achieve the correction of the second measured grayscale to eliminate the interference caused by the temperature-sensitive coating 120. In an optional example, the method for obtaining the correction coefficient includes:

[0204] First, based on each of the first images, the first measured grayscale at different temperatures is obtained; based on each of the fourth images, the second measured grayscale of each grayscale block 130 at different temperatures is obtained; and based on each of the fifth images, the fourth measured grayscale of each reference grayscale block at different temperatures is obtained.

[0205] Then, for each grayscale block 130, the following steps are performed: fitting the first measured grayscale at different temperatures, the second measured grayscale of the current grayscale block 130 at different temperatures, and the fourth measured grayscale of the corresponding reference grayscale block at different temperatures to obtain the sub-correction coefficient of the current grayscale block 130.

[0206] Finally, the sub-correction coefficients of each grayscale block 130 are weighted and calculated to obtain the correction coefficients.

[0207] Furthermore, embodiments of the present invention also provide a computer-readable storage medium storing a program that, when executed, performs the calibration method of the image acquisition device as described above.

[0208] Furthermore, embodiments of the present invention also provide an electronic device, the electronic device including a processor and a memory connected in communication, the memory storing a program, the processor executing the program, and when the program is executed, performing the calibration method of the image acquisition device as described in the first or second embodiment above.

[0209] Furthermore, embodiments of the present invention also provide an in vitro diagnostic device, the in vitro diagnostic device including the image acquisition device and a control unit, the control unit being communicatively connected to the light source and the image acquisition element of the image acquisition device, and configured to perform the calibration method of the image acquisition device as described in the first embodiment or the second example above.

[0210] While the present invention has been disclosed above, it is not limited thereto. Those skilled in the art can make various modifications and variations to the present invention without departing from its spirit and scope. Therefore, if such modifications and variations fall within the scope of the claims and their equivalents, the present invention also intends to include such modifications and variations.

Claims

1. A calibration method for an image acquisition device, the image acquisition device comprising a light source and an image acquisition element, characterized in that, The calibration method is performed based on a quality control membrane strip, which includes a substrate. A temperature-sensitive coating is provided on a portion of the surface of the substrate, and multiple grayscale blocks are provided on another portion of the surface. The grayscale blocks are set with different grayscale values. The calibration method includes: Step S1: Run the light source under the drive of an initial driving voltage, and make the image acquisition element acquire a first image and a second image, wherein the first image shows at least a portion of the temperature-sensitive coating, and the second image shows at least a portion of the grayscale block; Step S2: Obtain the first measured grayscale value of the temperature-sensitive coating on the first image; Step S3: Based on the first measured gray value, the first conversion relationship between the measured gray value of the temperature-sensitive coating and temperature, the second conversion relationship between temperature and the power of the light source, and the initial driving voltage, obtain the initial driving current of the light source; Step S4: Obtain the second measured gray level of any specified gray level block on the second image; Step S5: Obtain the target driving current of the light source based on the current driving current of the light source, the latest measured grayscale value of the second light source, and the set grayscale value of the specified grayscale block on the latest acquired second image. Step S6: Run the light source under the newly acquired target driving current, and re-acquire the second image by the image acquisition element; Step S7: Obtain the second measured gray level of any specified gray level block on the latest acquired second image; Step S8: Obtain the percentage deviation between the latest acquired second measured grayscale and the set grayscale of the specified grayscale block on the latest acquired second image; Step S9: Determine whether the latest obtained deviation percentage is within the set range. If not, return to step S5 and subsequent steps.

2. The calibration method for the image acquisition device according to claim 1, characterized in that, The calibration method further includes the following steps performed after the determination result of step S9 is yes: Step S10: Determine whether the latest acquired target driving current is less than or equal to the current threshold. If yes, determine that the calibration method has been completed. If no, proceed to steps S11 to S17. Step S11: Adjust the driving voltage of the light source so that the driving current of the light source is equal to the current threshold; and make the image acquisition element re-acquire the second image; Step S12: Obtain the second measured gray level of any specified gray level block on the latest acquired second image; Step S13: Based on the exposure time of the image acquisition element when acquiring the latest second image, the latest acquired second measured grayscale, and the set grayscale of the specified grayscale block on the latest acquired second image, obtain the target exposure time; Step S14: The image acquisition element re-acquires the second image based on the latest acquired target exposure time; Step S15: Obtain the second measured gray level of any specified gray level block on the latest acquired second image; Step S16: Obtain the percentage deviation between the latest acquired second measured grayscale and the set grayscale of the specified grayscale block on the latest acquired second image; Step S17: Determine whether the latest obtained deviation percentage is within the preset range. If not, return to step S13 and subsequent steps.

3. A calibration method for an image acquisition device, the image acquisition device comprising a light source and an image acquisition element, characterized in that, The calibration method is performed based on a quality control membrane strip, which includes a substrate. A temperature-sensitive coating is provided on a portion of the surface of the substrate, and multiple grayscale blocks are provided on another portion of the surface. The grayscale blocks are set with different grayscale values. The calibration method includes: Step S1: Run the light source under the drive of an initial driving voltage, and make the image acquisition element acquire a first image and a second image, wherein the first image shows at least a portion of the temperature-sensitive coating, and the second image shows at least a portion of the grayscale block; Step S2: Obtain the first measured grayscale value of the temperature-sensitive coating on the first image; Step S3: Based on the first measured gray value, the first conversion relationship between the measured gray value of the temperature-sensitive coating and temperature, the second conversion relationship between temperature and the power of the light source, and the initial driving voltage, obtain the initial driving current of the light source; Step S4: Obtain the second measured gray level of any specified gray level block on the second image; Step S5: First, correct the latest measured grayscale value based on the first measured grayscale value and the predetermined correction coefficient to obtain the correction value of the latest measured grayscale value; then, obtain the target driving current of the light source based on the current driving current of the light source, the correction value of the latest measured grayscale value, and the set grayscale value of the specified grayscale block on the latest acquired second image. Step S6: Run the light source under the newly acquired target driving current, and re-acquire the second image by the image acquisition element; Step S7: Obtain the second measured gray level of any specified gray level block on the latest acquired second image; Step S8: First, based on the first measured gray level and the correction coefficient, the newly acquired second measured gray level is corrected to obtain the correction value of the newly acquired second measured gray level; then, the percentage deviation between the correction value of the newly acquired second measured gray level and the set gray level of the specified gray level block on the newly acquired second image is obtained. Step S9: Determine whether the latest obtained deviation percentage is within the set range. If not, return to step S5 and subsequent steps.

4. The calibration method for the image acquisition device according to claim 3, characterized in that, The calibration method further includes the following steps performed after the determination result of step S9 is yes: Step S10: Determine whether the latest acquired target driving current is less than or equal to the current threshold. If yes, determine that the calibration method has been completed. If no, proceed to steps S11 to S17. Step S11: Adjust the driving voltage of the light source so that the driving current of the light source is equal to the current threshold; and make the image acquisition element re-acquire the second image; Step S12: Obtain the second measured gray level of any specified gray level block on the latest acquired second image; Step S13: First, correct the latest measured grayscale based on the first measured grayscale and the correction coefficient to obtain the correction value of the latest measured grayscale; then, based on the exposure time of the image acquisition element when acquiring the latest second image, the correction value of the latest measured grayscale, and the set grayscale of the specified grayscale block on the latest acquired second image, obtain the target exposure time. Step S14: The image acquisition element re-acquires the second image based on the latest acquired target exposure time; Step S15: Obtain the second measured gray level of any specified gray level block on the latest acquired second image; Step S16: First, based on the first measured gray level and the correction coefficient, the newly acquired second measured gray level is corrected to obtain the correction value of the newly acquired second measured gray level; Then, obtain the percentage deviation between the newly acquired correction value of the second measured gray level and the set gray level of the specified gray level block on the newly acquired second image; Step S17: Determine whether the latest obtained deviation percentage is within the preset range. If not, return to step S13 and subsequent steps.

5. The calibration method for the image acquisition device according to claim 2 or 4, characterized in that, The calibration method further includes the following steps performed after the determination result of step S17 is yes: Step S18: Determine whether the latest obtained target exposure time is less than or equal to the exposure time threshold. If yes, the calibration method is considered to have been completed. If no, an alarm message is generated and displayed.

6. The calibration method for the image acquisition device according to claim 1 or 3, characterized in that, The step of obtaining the initial driving current of the light source based on the first measured gray value, the first conversion relationship between the measured gray value of the temperature-sensitive coating and temperature, the second conversion relationship between temperature and the power of the light source, and the initial driving voltage includes: The current ambient temperature is obtained based on the first measured grayscale value and the first conversion relationship; Based on the current ambient temperature and the second conversion relationship, the initial nominal power of the light source when operating at the initial driving voltage is obtained; The temperature drift coefficient of the light source is obtained based on the second conversion relationship; The initial actual power is obtained based on the initial nominal power and the temperature drift coefficient; The initial drive current is obtained based on the initial actual power and the initial drive voltage.

7. The calibration method for the image acquisition device according to claim 1 or 3, characterized in that, A photosensitive coating is provided on another portion of the surface of the substrate; The calibration method further includes the following steps performed prior to step S1: Step S01: Turn off the light source and enable the image acquisition element to acquire a third image, the third image showing at least a portion of the photosensitive coating; Step S02: Obtain the third measured grayscale of the photosensitive coating on the third image; Step S03: Determine whether the third measured grayscale is greater than a preset grayscale threshold. If yes, determine that when acquiring the first image and the second image, a light-shielding device is used to cover the image acquisition element, and at least the portion of the quality control film strip including the grayscale block and the temperature-sensitive coating is covered. If no, determine that when acquiring the first image and the second image, a light-shielding device is not used to cover the light source and the portion of the quality control film strip including the grayscale block and the temperature-sensitive coating.

8. A computer-readable storage medium having a program stored thereon, characterized in that, When the program runs, it performs the calibration method for the image acquisition device as described in any one of claims 1-7.

9. An electronic device, characterized in that, The device includes a processor and a memory with a communication connection, the memory storing a program, and the processor executing the program, which, when executed, performs a calibration method for an image acquisition device as described in any one of claims 1-7.

10. An in vitro diagnostic device, characterized in that, The device includes an image acquisition apparatus and a control unit. The image acquisition apparatus includes a light source and an image acquisition element. The control unit is communicatively connected to the light source and the image acquisition element and is configured to perform a calibration method of the image acquisition apparatus as described in any one of claims 1-7.

Images