Intelligent imaging method and system based on single objective light sheet microscopic imaging system

Abstract

The application discloses an intelligent imaging method and system based on a single-lens light sheet microscopic imaging system, and the method comprises the following steps: acquiring a rough scanning image of a target biological sample; extracting contour information of the target biological sample from the rough scanning image; determining the intersection point of each layer scanning signal of the contour information and the center horizontal line of the layer, determining the scanning initial point and the scanning end point of each layer scanning signal based on the intersection point, and sending the position information of the scanning initial point and the scanning end point to an imaging control system of the single-lens light sheet microscope; receiving the scanning signal fed back by the imaging control system, extracting each layer information in the scanning signal for three-dimensional reconstruction, and obtaining a three-dimensional reconstruction image; and homing the three-dimensional reconstruction image to the spatial position of the target biological sample. The application cooperates with the existing imaging control system in the single-lens light sheet microscopic imaging system, selectively scans only the signal area of the target biological sample, can significantly accelerate the scanning speed, and can improve the imaging efficiency by nearly one time.

Description

TECHNICAL FIELD

[0001] The present application belongs to the field of fluorescence microscopic imaging technology, and particularly relates to an intelligent imaging method and system based on a single-objective light sheet microscopic imaging system. BACKGROUND

[0002] At present, light sheet microscopic imaging technology is widely applied in live cell imaging. A traditional light sheet microscope has orthogonal light sheet illumination and fluorescence detection light paths, which are respectively built by a detection objective and an illumination objective, and the light path is complex and difficult to construct. A single-objective light sheet microscope can overcome the above-mentioned deficiencies. The single-objective light sheet microscope couples the illumination light path and the detection light path into one path, and uses one objective to illuminate and detect the sample at the same time. The single-objective light sheet microscopic system adopts a direct detection method, and does not need to be corrected on a slant plane. The detection depth mainly depends on the objective depth of field. The detection depth of field of a 100x oil lens is about 1 um. It is difficult to detect the entire three-dimensional cell at a single z depth. Therefore, an objective scanner or a stage scanner needs to be combined to axially scan the cell to obtain a complete three-dimensional cell body. SUMMARY

[0003] In order to accelerate the scanning speed and effectively improve the imaging efficiency, the present application provides an intelligent imaging method and system based on a single-objective light sheet microscopic imaging system.

[0004] The first aspect of the present application provides an intelligent imaging method based on a single-objective light sheet microscopic imaging system, comprising:

[0005] obtaining a coarse scanning image of a target biological sample;

[0006] extracting contour information of the target biological sample from the coarse scanning image;

[0007] determining an intersection point of each layer scanning signal of the contour information and a center horizontal line of the layer, determining a scanning initial point and a scanning end point of each layer scanning signal based on the intersection point, and sending position information of the scanning initial point and the scanning end point to an imaging control system of the single-objective light sheet microscope;

[0008] receiving a scanning signal fed back by the imaging control system, extracting each layer information in the scanning signal for three-dimensional reconstruction, and obtaining a three-dimensional reconstruction image;

[0009] aligning the three-dimensional reconstruction image to a spatial position of the target biological sample.

[0010] In some specific embodiments, the above-mentioned obtaining a coarse scanning image of a target biological sample comprises:

[0011] The coarse scanning image is scanned in a sparse sampling mode in the x and z directions of the target biological sample, wherein the x direction refers to the scanning direction of the galvanometer, and the z direction refers to the scanning direction of the objective scanner or the objective table scanner.

[0012] In some embodiments, the profile information of the target biological sample is extracted from the coarse scanning image, including:

[0013] The coarse scanning image is three-dimensionally reconstructed to obtain a three-dimensional reconstruction body;

[0014] The maximum intensity projection of the three-dimensional reconstruction body on the yz plane is obtained, wherein the y direction refers to the optical height direction, and the z direction refers to the scanning direction of the objective scanner or the objective table scanner;

[0015] The profile information is extracted from the maximum intensity projection by using a threshold segmentation method and a morphological method.

[0016] In some embodiments, the scanning starting point and the scanning ending point of each layer scanning signal are determined based on the intersection, including:

[0017] The left intersection is given a redundancy of d pixels to the left to obtain the scanning starting point, and the right intersection is given a redundancy of d pixels to the right to obtain the scanning ending point, wherein d is a preset value.

[0018] In some embodiments, the position information of the scanning starting point and the scanning ending point is sent to the imaging control system of the single-objective light sheet microscope, including:

[0019] The position information of the scanning starting point and the scanning ending point is first converted into a control voltage signal, and then the control voltage signal containing the position information is sent to the imaging control system of the single-objective light sheet microscope.

[0020] Further, the position information of the scanning starting point and the scanning ending point is converted into a control voltage signal, including:

[0021] The position information S(b m ) of the scanning starting point of each layer scanning signal is converted into an initial voltage V(b m ) by using formula (1);

[0022] The position information S(e m ) of the scanning ending point of each layer scanning signal is converted into a termination voltage V(e m ) by using formula (2);

[0023] The formula (1) is V(b m ) = V(b0) + k * (S(b m ) - S(b0));

[0024] The formula (2) is: V(e m ) = V(b0) + k*(S(e m )-S(b0));

[0025] wherein k is a conversion coefficient, S(b0) and S(e0) are respectively the position of the scanning start point and the scanning end point in the conventional imaging mode of the single objective sheet micro-imaging system; V(b0) and V(e0) are respectively the control voltage signals corresponding to S(b0) and S(e0); S(b m ) and S(e m ) represent respectively the position information of the scanning start point and the scanning end point corresponding to the mth layer scanning signal.

[0026] In some embodiments, the above-mentioned positioning of the three-dimensional reconstructed image to the spatial position of the target biological sample comprises:

[0027] respectively right shifting N m pixel grids for each layer of the three-dimensional reconstructed image, N m = V(b m ) / k; wherein N m represents the right-shifted pixel grids of the mth layer; V(b m ) represents the control voltage signal corresponding to the position information S(b m ) of the scanning start point of the mth layer, V(b m ) = V(b0) + k*(S(b m )-S(b0)); k is a conversion coefficient, S(b0) and S(e0) are respectively the position of the scanning start point and the scanning end point in the imaging mode of the single objective sheet micro-imaging system; V(b0) and V(e0) are respectively the control voltage signals corresponding to S(b0) and S(e0).

[0028] The second aspect of the present application provides an intelligent imaging system based on a single objective sheet micro-imaging system, comprising:

[0029] A first module is used to acquire a coarse scanning image of a target biological sample;

[0030] A second module is used to extract contour information of the target biological sample from the coarse scanning image;

[0031] A third module is used to determine the intersection point of each layer scanning signal of the contour information and the horizontal line of the center of the layer, to determine the scanning start point and the scanning end point of each layer scanning signal based on the intersection point, and to send the position information of the scanning start point and the scanning end point to the imaging control system of the single objective sheet microscope;

[0032] The fourth module is configured to receive a scanning signal fed back by the imaging control system, extract each layer of information in the scanning signal, and perform three-dimensional reconstruction to obtain a three-dimensional reconstruction image;

[0033] The fifth module is configured to position the three-dimensional reconstruction image to a spatial position of the target biological sample.

[0034] In some embodiments, the second module further includes:

[0035] The three-dimensional reconstruction submodule is configured to perform three-dimensional reconstruction on the rough scanning image to obtain a three-dimensional reconstruction volume.

[0036] The maximum intensity projection obtaining submodule is configured to obtain a maximum intensity projection of the three-dimensional reconstruction volume on a yz plane, wherein the y direction refers to the optical height direction, and the z direction refers to the scanning direction of the objective lens scanner or the objective table scanner.

[0037] The contour extraction submodule is configured to extract contour information from the maximum intensity projection by using a threshold segmentation method and a morphological method.

[0038] In some embodiments, the third module further includes a control voltage signal conversion submodule configured to convert the position information of the scanning starting point and the scanning ending point into a control voltage signal.

[0039] The position information sent to the imaging control system of the single-objective lens slide microscope is control voltage information containing the position information.

[0040] Compared with the prior art, the present application has the following advantages and beneficial effects:

[0041] 1. The present application cooperates with the existing imaging control system in the single-objective lens slide microscopic imaging system, selectively scans only the signal area of the target biological sample, accelerates the scanning speed, and in the embodiments, can increase the imaging efficiency by nearly one time. In particular, when long-time and multi-volume imaging of the biological sample is required, the use of the present application will greatly save time.

[0042] 2. The present application is compatible with the existing imaging control system in the single-objective lens slide microscopic imaging system, and can be automatically executed without additional user operation. BRIEF DESCRIPTION OF DRAWINGS

[0043] Figure 1 FIG. 1 is a schematic diagram of the principle of a single-objective lens slide microscopic imaging system, in which 1 refers to an objective lens, and 2 refers to a probe light ray.

[0044] Figure 2 FIG. 3 is a schematic diagram of the intelligent imaging process in the embodiments of the present application.

[0045] Figure 3 FIG. 4 is a schematic diagram of the decoding principle of coordinate information in the embodiments of the present application. DETAILED DESCRIPTION

[0046] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work are within the protection scope of the present application.

[0047] The intelligent imaging method based on the single-objective light sheet microscopic imaging system provided in the embodiments of the present application has a process schematic diagram as shown in Figure 2 , and the specific steps are as follows:

[0048] S100: Obtain a rough scanning cell image of a target cell.

[0049] In the embodiment, the target living cell is rough scanned under a 100x high power objective, and the purpose is to quickly obtain a cell image of the target cell. The rough scanning cell image is used to obtain a cell contour subsequently. The rough scanning cell image obtained in the embodiment is shown in Figure 2 (a). Specifically, the target cell is scanned in a sparse sampling mode in the x and z directions. Here, the x and z directions can be seen from Figure 1 , in which the x direction refers to the galvanometer scanning direction, and the z direction refers to the scanning direction of the objective scanner or the objective table scanner.

[0050] S200: Extract a cell contour from the rough scanning cell image.

[0051] Specifically, the rough scanning cell image is three-dimensionally reconstructed to obtain a three-dimensional reconstruction, and a maximum intensity projection (MIP) of the three-dimensional reconstruction in the yz plane is obtained. The cell contour is extracted from the MIP. Here, the y direction refers to the optical height direction, and the z direction refers to the scanning direction of the objective scanner or the objective table scanner. The y and z directions can be seen from Figure 1 . The cell contour information extracted in the embodiment is shown in Figure 2 (b).

[0052] In the embodiment, the three-dimensional reconstruction of the rough scanning cell image is realized by using the prior art, and specifically, the technology disclosed in the Chinese patent application No. CN 116433844A, “Non-orthogonal detection data reconstruction method and system of single-objective light sheet fluorescence microscope” is used.

[0053] For ease of understanding, the three-dimensional reconstruction process of the rough scanning cell image is simply described as follows:

[0054] 2.1 Obtain non-orthogonal detection data of the single objective light sheet fluorescence microscope, the coarse scanning cell image obtained in the application is the non-orthogonal detection data, for each frame of projection image, according to the light sheet inclination angle θ of the single objective light sheet fluorescence microscope, the projection image is pixel super-resolution reconstructed into an orthogonal detection image;

[0055] 2.2 For each frame of the orthogonal detection image, the lateral displacement filling is performed in the light sheet Rayleigh distance direction, so that the orthogonal detection image is registered with the light sheet normal direction as the axial direction, and the registered orthogonal detection image is stacked into a three-dimensional image body;

[0056] 2.3 For the three-dimensional image body, the affine transformation is adopted to correct the sample three-dimensional image of the detection view angle, that is, the three-dimensional reconstruction body.

[0057] Obtaining the MIP of the three-dimensional reconstruction body in the yz plane is helpful to better obtain the structure and characteristics in the three-dimensional body. The obtaining method of the MIP is as follows:

[0058] In the three-dimensional graph matrix xyz, the yz plane is taken as the projection plane, and the data in the x axis direction is projected onto the yz plane. For each pixel point on the yz plane, the volume data in the x axis direction is traversed respectively, the maximum intensity of each pixel point in the x axis direction is recorded, and the maximum intensity is taken as the intensity value of the corresponding pixel point on the yz plane, so as to obtain the MIP.

[0059] In this embodiment, the extraction of the cell contour information from the MIP includes: performing Gaussian filtering on the MIP, the convolution kernel radius is 3*3, then performing threshold segmentation and morphological processing on the Gaussian filtered MIP, taking the maximum connected domain, and extracting the contour of the maximum connected domain, that is, the cell contour.

[0060] S300: Determine the intersection point of each layer scanning signal of the cell contour and the horizontal line of the center of the layer, determine the scanning starting point and the scanning ending point of each layer scanning signal based on the intersection point, and send the position information of the scanning starting point and the scanning ending point to the imaging control system of the single objective light sheet microscope;

[0061] It should be noted that the horizontal line of the center of the layer is the horizontal line corresponding to the z axis scanning depth corresponding to the layer, and the horizontal line is the line orthogonal to the x direction and the z axis scanning depth position.

[0062] Considering the motion of living cells and the possible slight deviation of the sample, in order to ensure that the scanning does not lose signals, in this embodiment, the following preferred scheme is adopted to determine the scanning starting point and the scanning ending point corresponding to each layer: for each layer scanning signal intersection point, the left intersection point is given a redundant amount of d pixels to the left to obtain the scanning starting point; the right intersection point is given a redundant amount of d pixels to the right to obtain the scanning ending point; wherein d is a preset value, generally in the range of 2-6.

[0063] In the present embodiment, the determined scanning start point and scanning end point refer to Figure 2 (b), the scanning start point and scanning end point of the first layer scanning signal are b1 and e1 respectively, the scanning start point and scanning end point of the second layer scanning signal are b2 and e2 respectively, and the scanning start point and scanning end point of the third layer scanning signal are b3 and e3 respectively. It should be noted that the layering of the scanning signal is based on the z-axis depth and the scanning step length, and the z-axis depth at the slide is taken as 0.

[0064] In the single objective slide microscope, the imaging control system controls the scanning of the galvanometer by controlling the voltage signal, so in the present embodiment, the position information of the scanning start point and the scanning end point is first converted into a control voltage signal, and then sent to the imaging control system, which controls the scanning of the galvanometer according to the received control voltage signal. Specifically, at each z-axis depth, scanning starts from the scanning start point of the layer corresponding to the z-axis depth, and ends when the scanning end point of the layer corresponding to the z-axis depth is reached. In the present embodiment, the scanning diagram of each layer can be seen in Figure 2 (c).

[0065] Further, in the present embodiment, the decoding principle of the position information of the scanning start point and the scanning end point can be seen in Figure 3 , and the process is as follows:

[0066] In the conventional imaging mode of the single objective slide microscope system, the scanning start point and scanning end point positions of each layer scanning signal are consistent, and are denoted as S(b0) and S(e0) respectively, and the corresponding control voltage signals are denoted as V(b0) and V(e0) respectively, V(b0) and V(e0) represent the initial voltage and the termination voltage respectively; the conversion coefficient k between the control voltage signal and the image coordinates is calculated:

[0067]

[0068] In the present embodiment, k is used to calculate the control voltage signal corresponding to each layer scanning signal. Taking the first layer scanning signal as an example, the coordinates of the scanning start point and the scanning end point of the first layer scanning signal are denoted as S(b1) and S(e1) respectively, and the control voltage signals are converted according to formulae (2)-(3):

[0069] V(b1) = V(b0) + k*(S(b1) - S(b0)) (2)

[0070] V(e1) = V(b0) + k*(S(e1) - S(b0)) (3)

[0071] The initial voltage V(b1) and the termination voltage V(e1) calculated by formulae (2)-(3) are the control voltage signals corresponding to the first layer scanning signal.

[0072] Similarly, according to the coordinates S(b2) and S(e2) of the scanning initial point and the scanning end point of the second layer scanning signal, the control voltage signal corresponding to the second layer scanning signal is calculated by using the conversion coefficient k; according to the coordinates S(b3) and S(e3) of the scanning initial point and the scanning end point of the third layer scanning signal, the control voltage signal corresponding to the second layer scanning signal is calculated by using the conversion coefficient k. The control voltage signals corresponding to all three layers of scanning signals are all the decoding scanning control parameters.

[0073] The imaging control system of the single objective light sheet microscope controls the galvanometer to scan only the cell contour area according to the received control voltage signal, and feeds back the scanning signal.

[0074] S400: receiving the scanning signal fed back by the imaging control system, extracting the information of each layer in the scanning signal for three-dimensional reconstruction, and obtaining a three-dimensional reconstruction image;

[0075] In the embodiment, the feedback scanning signal is a light sheet signal, and each light sheet contains three-dimensional scanning information. The three-dimensional scanning signal contained in each layer of light sheet signal is extracted and stacked, and the three-dimensional reconstruction image of the target cell is obtained. See Figure 2 (d) shown.

[0076] S500: aligning the three-dimensional reconstruction image to the spatial position where the target cell is located.

[0077] Specifically, according to the position information of the scanning initial point and the scanning end point of each layer scanning signal obtained in step S300, the three-dimensional reconstruction image is aligned. Taking the first layer as an example, the first layer scanning signal needs to be right shifted by N1 pixel grids:

[0078] N1 = V(b1) / k (4)

[0079] The three-dimensional reconstruction image of the target cell can be obtained by performing step S400, but the three-dimensional reconstruction image is misaligned at this time, and each layer needs to be shifted respectively to align the three-dimensional reconstruction image to the spatial position where the target cell is located, and finally the imaging is obtained. See Figure 2 (e) shown.

[0080] In the above embodiment, the method of the application is realized by an algorithm based on python, and the imaging control system in the single objective light sheet microscopic imaging system is realized by LabVIEW programming.

[0081] The application is compatible with the existing imaging control system in the single objective light sheet microscopic imaging system, and can be automatically executed without additional user operation.

[0082] The existing imaging control system in the single objective light sheet microscopic imaging system is used to scan the entire three-dimensional space where the target cell is located, and it takes about 2 seconds to scan one cell on average. By using the present application, the signal region of the target cell is selectively scanned without scanning the entire three-dimensional space, which can greatly save the scanning time. In the above embodiment, the coarse scanning takes about 100 milliseconds, the extraction of cell contour information takes about 5 milliseconds, and the subsequent intelligent imaging takes about 1 second, so the total time is about 1.1 seconds. Compared with the existing imaging control system in the single objective light sheet microscopic imaging system, the imaging efficiency of the present application can be improved by nearly one time. When long-time and multi-volume imaging of cells is required, the present application method can save a lot of time.

[0083] The target biological sample in the above embodiment is a single cell, and in fact, the application of the present application method and system is not limited to light sheet microscopic intelligent imaging of single cells under high magnification. Different biological samples can be subjected to light sheet microscopic intelligent imaging under different magnification objectives, such as multi-cell spherical samples of organoids, large tissue biological samples similar to mouse brains, etc. In particular, when used for large tissue biological samples, the data volume is huge, and the present application method and system can significantly improve the imaging efficiency while saving a large amount of storage space, which is of greater significance.

[0084] The above is a specific description of the preferred implementation of the present application, but the present application invention is not limited to the above-mentioned embodiments. Those skilled in the art can make various equivalent modifications or replacements without departing from the spirit of the present application, and these equivalent modifications or replacements are all included in the scope defined by the claims of the present application.

Claims

1. A content-aware intelligent imaging method based on single objective light-sheet microscopy imaging system, characterized in that, The method comprises the following steps: obtaining a coarse scanning image of the target biological sample; extracting contour information of the target biological sample from the coarse scanning image; The intersection point of each layer of the contour information scanning signal with the horizontal center line of the layer is determined. Based on the intersection point, the scanning start point and scanning end point of each layer of the scanning signal are determined, and the position information of the scanning start point and scanning end point is sent to the imaging control system of the single-objective light-sheet microscope. The step of sending the position information of the scanning start point and scanning end point to the imaging control system of the single-objective light-sheet microscope includes: first converting the position information of the scanning start point and scanning end point into a control voltage signal, and then sending the control voltage signal containing the position information to the imaging control system of the single-objective light-sheet microscope. Among them, the position information S(b) of the scanning start point of each layer of the scanning signal is converted into a control voltage signal using formula (1). m ) converted to initial voltage V(b) m ); Formula (2) is used to obtain the position information S(e) of the end point of each layer of scanning signal. m ) is converted to the termination voltage V(e) m ); The formula (1) is: V(b m ) = V(b0) + k * (S(b m ) - S(b0)); The formula (2) is: V(e m ) = V(b0) + k * (S(e m ) - S(b0)); wherein k is a conversion factor, S(b0) and S(e0) are the positions of the scanning start point and the scanning end point in the conventional imaging mode of the single objective optical sheet microscopic system, respectively; V(b0) and V(e0) are the control voltage signals corresponding to S(b0) and S(e0), respectively; S(b m ) and S(e m ) represent the position information of the scanning start point and the scanning end point corresponding to the mth layer scanning signal, respectively. controlling the imaging control system to scan the region defined by the initial scanning point and the end scanning point of each layer; receiving the scanning signal fed back by the imaging control system, extracting the information of each layer in the scanning signal for three-dimensional reconstruction, and obtaining a three-dimensional reconstruction image; The three-dimensional reconstruction image is aligned to a space position of a target biological sample, comprising: right shifting N m pixel grids for each layer of the three-dimensional reconstruction image respectively, N m =V(b m ) / k; wherein, N m represents the right shifted pixel grids of the mth layer; V(b m ) represents a control voltage signal corresponding to position information S(b m ) of a scanning initial point of the mth layer, V(b m )=V(b0)+k*(S(b m )-S(b0)); k is a conversion coefficient, S(b0) and S(e0) are positions of scanning initial points and scanning end points in an imaging mode of a single objective optical sheet microscopic system respectively; V(b0) and V(e0) are control voltage signals corresponding to S(b0) and S(e0) respectively.

2. The content-aware intelligent imaging method based on the single-objective light sheet microscopic imaging system according to claim 1, wherein: the step of obtaining the coarse scanning image of the target biological sample comprises: scanning in a sparse sampling mode in the x and z directions of the target biological sample to obtain the coarse scanning image; wherein the x direction refers to the scanning direction of the galvanometer, and the z direction refers to the scanning direction of the objective scanner or the objective table scanner.

3. The content-aware intelligent imaging method based on the single-objective light sheet microscopic imaging system according to claim 1, wherein: the step of extracting the contour information of the target biological sample from the coarse scanning image comprises: performing three-dimensional reconstruction on the coarse scanning image to obtain a three-dimensional reconstruction body; obtaining the maximum intensity projection of the three-dimensional reconstruction body on the yz plane, wherein the y direction refers to the optical height direction, and the z direction refers to the scanning direction of the objective scanner or the objective table scanner; extracting the contour information from the maximum intensity projection by using a threshold segmentation method and a morphological method.

4. The content-aware intelligent imaging method based on the single-objective light sheet microscopic imaging system according to claim 1, wherein: the step of determining the initial scanning point and the end scanning point of each layer scanning signal based on the intersection point comprises: for each intersection point of each layer scanning signal, giving a left intersection point a redundant amount of d pixels to the left to obtain the initial scanning point, and giving a right intersection point a redundant amount of d pixels to the right to obtain the end scanning point; wherein d is a preset value.

5. The content-aware intelligent imaging system based on single objective light-sheet microscopy imaging system, characterized in that, The method comprises the following steps: a first module for obtaining a coarse scanning image of the target biological sample; a second module for extracting contour information of the target biological sample from the coarse scanning image; a third module for determining the intersection point of each layer scanning signal of the contour information with the horizontal line of the center of the layer, determining the initial scanning point and the end scanning point of each layer scanning signal based on the intersection point, and sending the position information of the initial scanning point and the end scanning point to the imaging control system of the single-objective light sheet microscope; a fourth module for receiving the scanning signal fed back by the imaging control system, extracting the information of each layer in the scanning signal for three-dimensional reconstruction, and obtaining a three-dimensional reconstruction image; the scanning signal is obtained by controlling the imaging control system to scan the region defined by the initial scanning point and the end scanning point of each layer; The fifth module is used to reposition the 3D reconstructed image to the spatial location of the target biological sample, including: shifting each layer of the 3D reconstructed image to the right by N. m N pixels m =V(b) m ) / k; where N m V(b) represents the pixel grid shifted to the right in the m-th layer; m S(b) represents the position information of the initial scan point of the m-th layer. m The corresponding control voltage signal, V(b) m )=V(b0)+k*(S(b m )-S(b0)); k is the conversion coefficient, S(b0) and S(e0) are the positions of the initial and final scanning points in the imaging mode of the single-objective light sheet microscopy system, respectively; V(b0) and V(e0) are the control voltage signals corresponding to S(b0) and S(e0), respectively. The third module further comprises a control voltage signal conversion sub-module, configured to convert the position information of the scanning start point and the scanning end point into control voltage signals; the position information sent to the imaging control system of the single objective lens slide microscope is control voltage information containing the position information; wherein the position information S(b m ) of the scanning start point of each layer scanning signal is converted into an initial voltage V(b m ) by using formula (1); the position information S(e m ) of the scanning end point of each layer scanning signal is converted into a termination voltage V(e m ) by using formula (2). The formula (1) is: V(b m ) = V(b0) + k * (S(b m ) - S(b0)); The equation (2) is: V(e m ) = V(b0) + k * (S(e m ) - S(b0)); wherein k is a conversion factor, S(b0) and S(e0) are the positions of the scanning start point and the scanning end point in the conventional imaging mode of the single objective optical sheet microscopic system, respectively; V(b0) and V(e0) are the control voltage signals corresponding to S(b0) and S(e0), respectively; S(b m ) and S(e m ) represent the position information of the scanning start point and the scanning end point corresponding to the scanning signal of the mth layer, respectively.

6. The content-aware intelligent imaging system based on the single-objective light sheet microscopic imaging system according to claim 5, wherein: the second module further comprises: a three-dimensional reconstruction submodule for performing three-dimensional reconstruction on the coarse scanning image to obtain a three-dimensional reconstruction body; a maximum intensity projection obtaining submodule for obtaining the maximum intensity projection of the three-dimensional reconstruction body on the yz plane, wherein the y direction refers to the optical height direction, and the z direction refers to the scanning direction of the objective scanner or the objective table scanner; a contour extraction submodule for extracting the contour information from the maximum intensity projection by using a threshold segmentation method and a morphological method.

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