32 results about "Digital slide" patented technology

The present invention provides a tissue cassette for a slide scanner that performs a scanning operation while moving the area being scanned in a slide (10), which has a thinly sliced section (S) attached thereto, wherein: the tissue cassette includes a body (100) which has a structure surrounded by a bottom surface and four side surfaces connected to the bottom surface and has an accommodation part (110) formed to accommodate an object to be scanned (A); the distance between opposing long sides (113) of the accommodation part (110) is shorter than the distance between opposing long sides (11) of the slide (10); and the section (S) is prepared so as to span across both the long sides (112) and short sides (113) of the accommodation part (110), and is attached to the slide (10) in such a way that the long sides of the section (S) are positioned between the long sides (11) of the slide (10).

1. The name of the design product: digital slide image scanner. 2. The use of the design product: the product is used for pathological diagnosis. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The disclosed computer-implemented method may include (1) receiving an image of a section of a sectionable tissue sample block, the image including image data of, embedded into the section of the sectionable tissue sample block, (A) a section of a tissue sample, and (B) a section of a sectionable fiducial marker, (2) determining an attribute of the section of the sectionable fiducial marker from the received image of the section of the sectionable tissue sample block, and (3) executing a tissue sample management action based on the determined attribute of the section of the sectionable fiducial marker. Various other methods, systems, apparatuses, and computer-readable media are also disclosed.

The present invention provides an apparatus and method for automatically verifying quality data associated with slides. [Solution] The apparatus 100 includes receiving a digital slide 118 corresponding to a slide from an optical device 106, determining a slide identifier 122 using metadata 120, and locating the digital slide using object detection technology 128. Locating the digital slide includes identifying a target stained core 130 and aligning the target stained core to a standard format 132. The method also includes evaluating the target stained core using a predetermined threshold. The evaluation includes instructions that configure the processor 102 to compare the target stained core 130 with a control core 136, generate a verification output 138 as a function of the comparison between the target stained core and the control core, and transmit the verification output to a display device 140.

1. The name of the design product: the main body of a digital pathology scanner. 2. The use of the design product: the design product as a whole and in part is used for digital pathology scanning to convert glass slides into digital slides. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1. 5. Other circumstances that need to be explained: the design is a partial design, and the solid line part is the part of the design product that requires protection.

A slide holder turntable for a digital slide scanning apparatus is provided, which allows for the continuous loading and unloading of slide holders while the digital slide scanning apparatus simultaneously digitizes glass slides. The slide holder turntable includes a base having an angled inner portion on its upper surface. The turntable also includes a plurality of spacer members extending upward from the base, with adjacent spacer members defining slide slots. Each spacer member further includes a slide stop on each side, such that adjacent spacer members have slide stops facing each other. The slide stops prevent the slide holder from moving further than desired towards the center of the turntable.

The invention discloses an LED lighting device for a full-automatic digital section scanner, and relates to the field of scanners, the LED lighting device comprises a fixed support and a movable support, the side surface of the fixed support is fixedly connected with a connecting assembly for connection, the top of the fixed support is provided with a guide rod, the movable support is slidably connected with the guide rod, and the movable support is provided with a lighting assembly. The lighting assembly is slidably connected with the movable support. The scanner lighting device is simple in structure and convenient to use, is connected through the connecting assembly, can meet the scanning lighting requirements of scanners of different models, and is directly connected to scanner equipment. In addition, the illuminating lamps can be adjusted to proper positions according to requirements through the first screw rod and the second screw rod, the illuminating condition in the scanning process of the scanner is ensured, the illuminating lamps are set to be switchable, when one illuminating lamp is damaged, the other illuminating lamp can be used for illumination in time, and during the overhauling period of replacing the illuminating lamps, the illuminating lamp is replaced by the other illuminating lamp. And the normal use of the scanner is not influenced.

An apparatus and method for automatically validating quality data associated with at least a slide. The apparatus includes at least a processor and a memory communicatively connected to the at least a processor. The memory instructs the processor to receive, from the at least an optical device, at least a digital slide corresponding to the at least a slide, determine, using metadata, a slide identification, localize, using at least an object detection technique, the at least a digital slide, wherein localizing the at least a digital slide comprises identifying a stained core of interest and aligning the stained core of interest into a standard form, and, evaluate, using a predefined threshold, the stained core of interest, wherein evaluating comprises comparing the stained core of interest to a control core, generating a validation output, and transmitting the validation output to a downstream device.

The invention relates to a method for simulating a visual field of a digital pathological section under a microscope, which comprises the following steps of: performing data conversion on the digital pathological section according to a high-power visual field required to be simulated, and drawing a relative area of the converted high-power visual field of the digital pathological section in a browsing view. According to the scheme, the film reading areas corresponding to different multiplying power and different high-power view sizes under the microscope are simulated on the digital film reading interface, a circular view area simulation mode and a rectangular view area simulation mode are provided, meanwhile, a specified-distance fast moving film reading mode based on the diameter or width and height of the high-power view is provided, and the film reading efficiency is improved. The method can efficiently move the radiograph reading area while simulating radiograph reading under the microscope, does not generate missing section information, can intuitively realize comparison between the digital pathological radiograph reading area and the radiograph reading area under the microscope, helps a user to clearly understand the difference between the two areas, effectively relieves judgment discomfort of a radiograph reader due to the difference of visual areas, and improves the user experience. And the accuracy and adaptability of digital film reading are improved.

Disclosed herein are systems, methods and computer-program products to create synthetic immunohistochemistry (IHC) stained digital slides or virtual tissue sections generated using artificial neural networks (ANNs). In some implementations, the created digital slides or a virtual tissue sections can be used as a ground truth to evaluate a method of analyzing IHC stained tissues.

The invention provides a digital slice abnormal cell detection method and device, electronic equipment and a storage medium, and the method comprises the steps: carrying out the pixel-level instance segmentation of a to-be-detected image based on a trained instance segmentation model, and obtaining a cell mask and a cell nucleus mask in the to-be-detected image; based on the spatial characteristics and / or attribute characteristics of the cell mask and the cell nucleus mask, carrying out cell-cell nucleus association matching to obtain a cell-cell nucleus pair; and calculating the characteristic value of the cell morphology quantitative characteristic of the cell-cell nucleus pair, and determining the cell with the characteristic value exceeding a characteristic threshold as an abnormal cell. According to the digital section abnormal cell detection method and device, the electronic equipment and the storage medium provided by the invention, the accuracy, the automation level and the clinical applicability of abnormal cell detection are remarkably improved through a progressive process of instance segmentation-association matching-quantitative judgment, and a more reliable and efficient intelligent tool is provided for early screening of cervical cancer.

Automatically validating quality data of at least a digital slide 110, 118 scanned by an optical device. The slide is identified 122 with metadata 120 and object detection 128 locates the stained core

1. Name of the designed product: Digital slide scanner (UltraScan). 2. Use of the designed product: For scanning complete slides made from pathological or other medical specimens into digital images. 3. Design points of the designed product: In shape. 4. Picture or photograph best indicating the design points: Fig. 1.

The invention relates to an image detection method for helicobacter pylori in a digital slice, which comprises the following steps of: 1) scanning a pathological slice by using a digital slice scanner, and converting the obtained digital slice into an image block as an original image; 2) the original image in the step 1) is processed through a neural network-based super-resolution image processing method and a hierarchical deep learning framework to obtain a super-resolution image, the super-resolution image has feature information of the original image and is used for providing detail features for a trained target detection model, HP computer recognition and detection are facilitated, and the detection efficiency is improved. The workload of step-by-step checking under a manual mirror is further reduced; and 3) detecting the helicobacter pylori by adopting the target detection model trained in the step 2) to obtain an HP detection result. Computer identification and detection of the HP are facilitated, the HP can be comprehensively searched through detection of a complete digital slice, and the workload of step-by-step troubleshooting under an artificial microscope is reduced.

The utility model relates to the technical field of slice imaging equipment, in particular to a digital slice scanning device which comprises a sample loading mechanism, a slice scanning mechanism and a glass slide clamping mechanism, the sample loading mechanism comprises a conveying assembly, a slide box arranged at the movable end of the conveying assembly and a sample loading assembly erected on the conveying assembly; the slice scanning mechanism comprises an imaging support and a slice imaging module installed on the imaging support. The glass slide clamping mechanism comprises a multi-axis moving platform and an automatic glass slide clamping assembly installed at the movable end of the multi-axis moving platform. The automatic glass slide clamping assembly is used for automatically clamping glass slides on the glass slide box through the multi-axis moving platform. The sample loading assembly can stably lift the glass slide box to a specified position so that the glass slide clamping mechanism can automatically clamp the glass slide box, the operation process is stable, the safety and the reliability are high, and in addition, the glass slide clamping mechanism is low in fragment risk and short in slide taking time.

The disclosed method of processing tissue samples may include (1) placing a tissue sample within a pre-formed structure that includes a sectionable fiducial marker therein, (2) processing the tissue sample and the pre-formed structure, which includes the sectionable fiducial marker therein, together to form a sectionable tissue sample block, and (3) sectioning the sectionable tissue sample block into a variety of sections, each of which comprises a section of the tissue sample and a section of the sectionable fiducial marker. Various other methods, systems, apparatuses, and computer-readable media are also disclosed.

The present invention discloses a method, device, medium, and equipment for intelligently stitching microscope images acquired using a rolling shutter. The method discloses an intelligent stitching method for microscope images based on an electronic rolling shutter, including: an automatic stitching process based on the camera characteristics of the electronic rolling shutter during the movement of the microscope stage; a real-time detection method for image motion blur; calculation and dynamic display of various states of the stitching process, and coordination of the stage movement speed for effective image stitching; and a dual-projection automatic stitching algorithm. The present invention is simple to use and operate, effectively expanding the application range of electronic rolling shutter cameras by intelligently identifying and automatically stitching images acquired during the stage movement of the electronic rolling shutter camera. This allows a conventional microscope coupled with a popular digital camera to perform the same function as a digital slide scanner in scanning digital slides.

The application relates to a preparation method of a micro sample pathological digital slide, which realizes rapid positioning and focusing by collecting a digital image of a micro sample through a contrast focusing mode, and solves the positioning and focusing problems of the micro sample under a slide scanner. The application provides a more effective tool for pathologists and medical researchers to study the pathological characteristics of micro samples. The micro samples can be more accurately analyzed and researched, which helps to deeply understand the occurrence mechanism, development process and treatment response of diseases, provides strong support for medical research, and promotes the continuous development of the pathology discipline. The micro samples can be better processed, helping doctors to more accurately judge the nature and stage of tumors and provide a basis for formulating a treatment plan. The prepared high-quality pathological digital slide image is easier to transmit and share, and facilitates remote consultation and academic exchange among pathologists.

The invention provides a pet pathology auxiliary diagnosis system based on visual language artificial intelligence. The computer vision AI pathological analysis module analyzes the whole pathological section map, detects a tumor area and identifies key pathological features; the intelligent pathological report generation module automatically generates a pathological diagnosis report based on a large language model in combination with an information retrieval enhancement generation (RAG) technology; the cloud digital section management system provides a remote virtual section reading function, supports pathological specialists to access and manage pathological sections anytime and anywhere, integrates AI auxiliary diagnosis and report generation capabilities, and realizes whole-process information tracking and management. According to the auxiliary diagnosis system, the manual film reading time can be shortened, the pathological resource configuration is optimized, and the overall working efficiency is improved.

The invention relates to a specimen-level pathological report automatic generation method based on artificial intelligence, and the method comprises the steps: obtaining a plurality of digital slide images belonging to the same pathological specimen, inputting the plurality of digital slide images into a pre-trained specimen-level artificial intelligence diagnosis model, receiving a diagnosis analysis result outputted by the specimen-level artificial intelligence diagnosis model, the diagnosis analysis result comprises at least one diagnosis element obtained by comprehensively analyzing the plurality of digital slide images, matching and calling a corresponding structured diagnosis template from a preset diagnosis template library according to the diagnosis analysis result, obtaining an initial diagnosis report draft based on the matched structured diagnosis template and the diagnosis analysis result, and sending the initial diagnosis report draft to a server; and presenting the initial diagnosis report draft and the diagnosis options capable of being adjusted by the user on an interactive interface, and updating the content of the initial diagnosis report draft in response to the interactive operation of the user to obtain a final pathological diagnosis report.

A slide rack counting and reinsertion system for use with a digital slide scanning apparatus is provided that determines that each slot in a slide rack is in a suitable occupancy, inappropriate occupancy, or empty state prior to scanning slides in the slide rack. The system also determines whether a slide that has been removed from the slide rack for processing has been correctly reinserted into the slide rack.

1. The name of the design product: the state display area of the digital pathology scanning graphical user interface of an electronic device. 2. The use of the design product: for an electronic device. 3. The design points of the design product: the graphical user interface displayed on the electronic device. 4. The picture or photo that best indicates the design points: front view. 5. The use of the graphical user interface: the whole graphical user interface is used to view, analyze and manage the digital pathology scanning process of the digital pathology scanner, which converts glass slides into digital slides; locally, it is used to display the state of each slide holder in the slide holder carousel of the digital pathology scanner, such as empty, waiting for scanning, scanning, completed, warning, etc., and the user interacts with the graphical user interface by changing the state of each slide holder through the operation of the digital pathology scanner. 6. Other circumstances that need to be explained: this design is a partial design, and the solid line part is the part that needs to be protected by the design product.

Embodiments of the present application disclose a digital slide generation system, method, and related device based on a microscope. By acquiring a digital slide image corresponding to slide reading and coordinate information corresponding to the digital slide image while using the microscope for slide reading, and fusing the digital slide images based on the coordinate information, it is possible to accurately fuse the digital slide images obtained during slide reading into a microscopic image digital slide corresponding to the object to be photographed according to the coordinate information, without separately using a digital slide scanner to perform a digital scanning operation on the object to be photographed, thereby simplifying the workflow of digital slide generation, reducing the diagnosis time, and reducing the diagnosis costs of pathology or other disciplines using microscopes.

The present invention discloses a full-automatic digital slide scanning system with a carrier plate, which relates to the technical field of medical microscopic imaging. The key points of its technical solution are as follows: It includes a base and a bracket fixed on the base. A microscopic optical imaging system and a storage bin lifting assembly are arranged on the bracket. There are two storage bin lifting assemblies. The output end of each storage bin lifting assembly is provided with a portable carrier plate storage bin. A number of slide storage carriers can be pulled and pushed in each portable carrier plate storage bin. It also includes a scanning motion device, which includes an X-axis linear motor arranged on the bottom plate, a Y-axis linear motor arranged on the output end of the X-axis linear motor, a Z-axis automatic positioning platform arranged on the output end of the Y-axis linear motor, and a stage arranged on the Z-axis automatic positioning platform. A loading and unloading pulling and pushing assembly is arranged on the stage. The present invention can achieve infinite cyclic feeding, is not easy to cause damage to the glass slides, and has the advantages of high scanning efficiency and low failure rate.

The invention provides a visible component separation and lightweight processing system and method for a digital section of a cell pathological smear based on gray threshold layering, and is applied to the technical field of medical data processing. The method comprises the following steps: processing a gray interval standard of preset cells and interstitial components and digital section image data of a cell pathological smear, and generating a cell component mask and an interstitial component mask by extracting a gray value of an image B channel; performing optimization processing on the generated cell component masks and interstitial component masks by utilizing a morphological algorithm, removing noisy points through corrosion and expansion operation of a 5 * 5 convolution kernel, extracting connected components by adopting a four-neighborhood expansion region growing algorithm, and generating optimized cell and interstitial active components; and carrying out lightweight reconstruction processing on the optimized effective components of the cells and the interstitial substances, removing redundant backgrounds in the original slices, compressing the data volume to be less than 1 / 10 of the original data volume, and generating independent RGB image views of the cell components and the interstitial components.

This item is a digital pathology scanner that can be used to convert glass slides (pathology specimens) into digital slides.

1. Name of the product in this design: Graphical User Interface for Predicting Microscopic Cancer Fossils in Display Slices for Electronic Devices. 2. Purpose of this design: For displaying the program operation and / or interface display of microscopic cancer lesions in slice prediction. 3. The key design features of this product are the graphical user interface content on the screen. 4. The image or photograph that best illustrates the design's key features: the front view. 5. The design for which protection is sought includes color. 6. Purpose of the Graphical User Interface: This product is a human-computer interaction interface used to display small cancerous lesions in slide prediction. The main view is the login interface. After entering valid login information and successfully logging in, the interface automatically jumps to the interface change state diagram 1. Interface change state diagram 1 is a list page, where each row represents multiple digital slides under the same pathology number, and the color of each slide represents a status. Clicking the slide color block button on the list page jumps to the interface change state diagram 2. The gray filled block in the center of interface change state diagram 2 is the content display area used to display the pathology slides. And suspicious micro-lesions; click the zoom in or zoom out button in the upper right corner of interface change state diagram 2 to enter interface change state diagram 3, the zoom in or zoom out button is "1,2,4,10,20,40"; click the "Sky Eye" button above interface change state diagram 3 to enter interface change state diagram 4; the "Sky Eye" button is the heat map toggle switch; among them, the interface change state 2 reference diagram is the usage state reference diagram of interface change state diagram 2; the interface change state 3 reference diagram is the usage state reference diagram of interface change state diagram 3; the interface change state 4 reference diagram is the usage state reference diagram of interface change state diagram 4. 7. Other situations requiring explanation: Other explanation: The grayscale blocks in each view represent content screens or variable content.

1. Name of the product in this design: Digital Slice Scanner. 2. Purpose of this design: To scan slides made from pathological or other medical specimens into complete digital images. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

A method for on-demand registration of whole slide images (WSIs), comprising receiving at least two digital images, a first digital image of a reference slide and a second digital image on a candidate slide, each at a first magnification level, identifying a first region of interest (ROI) on the first digital image at a target magnification level, registering a portion of the second digital image to a portion of the first digital slide image at the first magnification level to derive a transformation matrix, applying the transformation matrix to the first ROI to identify a second ROI on the second digital image at the first magnification level, mapping the second ROI to a corresponding second ROI on the second digital image at the target magnification level, and registering the corresponding second ROI to the first ROI at the target magnification level.

The present invention discloses a method and device for identifying sample areas in a digital slide scanner. The method comprises the following steps: collecting an original image (ImagePreview) of a physical slice and performing gamma enhancement processing to obtain an ImageGamma; performing grayscale, filtering, equalization, dilation, erosion, and cutout preprocessing on the ImageGamma to obtain a preprocessed image (ImageGrabCut); performing segmentation processing on the ImageGrabCut to obtain an ImageFinalGray; and extracting the contours of the sample in the ImageFinalGray. If the extracted sample contour is larger than the minimum sample area and the vertical and horizontal difference values ​​of the sample contour are no greater than 20, the extracted sample contour is used as the final sample area image. The present invention can accurately identify sample areas and improve the recognition effect of sample areas in digital slide scanners.