Abstract: A method for visualization of digitized slides is disclosed. The method comprises retrieving, by one or more computer processors, a digitized slide, determining, by the one or more computer processors, one or more visualization components of the digitized slide, generating, by the one or more computer processors, a virtual slide corresponding to the digitized slide based on the one or more visualization components, and displaying, by the one or more computer processors, a visualization of the virtual slide.

Abstract: The present disclosure describes an exemplary system and method for the digitization of tissue slides based on associations among serial sections. The system includes at least a computing device, wherein the computing device includes a memory and processor communicatively connected to one another, and a scanner, configured to scan a slide and send a digitized image of the slide to the computing device. A method for the digitization of tissue slides based on associations among serial sections may include receiving a candidate tissue map associated with a candidate tissue section, receiving a reference tissue map associated with a reference tissue section, aligning the candidate tissue map to the reference tissue map, comparing the aligned candidate tissue map to the reference tissue map, and generating a regenerated candidate tissue map as a function of the reference tissue map.

Abstract: A method for visualization of digitized slides is disclosed. The method comprises retrieving, using at least a processor, a digitized slide, determining, using the at least a processor, one or more visualization components of the digitized slide, generating, using the at least a processor, a virtual slide corresponding to the digitized slide based on the one or more visualization components, conditionally adjusting, using the at least a processor, a parameter of the virtual slide using one or more predefined temples, and displaying, using a user display, a visualization of the virtual slide.

Abstract: An apparatus for visualization of digitized glass slides belonging to a patient case having a processor and a memory communicatively connected to the processor, the memory containing instructions configuring the processor to receive an image data set having a plurality of images of one or more specimens and metadata of the plurality of images of the one or more specimens, identify one or more constituent virtualization components for each image, determine a relationship between the one or more constituent visualization components as a function of the image data set, construct a plurality of virtual images as a function of the image data set and the relationship between the one or more virtual constituent components, wherein each of plurality of the images includes at least one virtual constituent component, generate a consolidated virtual image as a function of the plurality of virtual images and display the consolidated virtual image.

Abstract: An apparatus for generating a confidence score associated with a scanned label is disclosed. 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 a profile, wherein the profile includes at least a label and a plurality of digital representations of slides, perform a flip detection process on the profile to verify the orientation of at least slide data of the profile, generate a scanned label as a function of the at least a label, determine a confidence score associated with the scanned label, adjust the confidence score for accuracy, and display the confidence score using a display device.

Abstract: An apparatus and method for detecting content of interest on a slide using machine learning. 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 a first image, comprising a macro image, identify areas of interest associated with the grids of the first image, receive a second image comprising a high magnification image associated with the areas of interest of the first image, classify, using at least a probed point, the grids of the first image, wherein classifying the grids of the first image includes classifying the grids into accepted grids of the grids and rejected grids of the grids, scan, using the image capturing device, the accepted grids to generate an output image, and display, using a display device, the output image.

Abstract: The present disclosure describes an exemplary system and method for the digitization of tissue slides based on associations among serial sections. The system includes at least a computing device, wherein the computing device includes a memory and processor communicatively connected to one another, and a scanner, configured to scan a slide and send a digitized image of the slide to the computing device. A method for the digitization of tissue slides based on associations among serial sections may include receiving a candidate tissue map associated with a candidate tissue section, receiving a reference tissue map associated with a reference tissue section, aligning the candidate tissue map to the reference tissue map, comparing the aligned candidate tissue map to the reference tissue map, and generating a regenerated candidate tissue map as a function of the reference tissue map.

Abstract: An apparatus for generating a confidence score associated with a scanned label is disclosed. 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 a profile comprising at least a label containing a plurality of metadata associated with the at least a label. The memory instructs the processor to generate a scanned label as a function of the at least a label, wherein generating a scanned label comprises scanning the at least a label using a text recognition module. The memory instructs the processor to determine a confidence score associated with the at least a label as a function of a comparison between the scanned label and a plurality of historical scanned labels. The memory instructs the processor to display the confidence score using a display device.

Abstract: An apparatus and method for automated microdissection of tissue from slides to optimize tissue harvest from regions of interest are disclosed. The apparatus includes at least a processor and a memory communicatively connected to the at least a processor, wherein the memory contains instructions configuring the at least a processor to receive a stained input slide, identify a region of interest on the stained input slide, generate a segmentation map of the region of interest as a function of a segmentation algorithm, register a segmented region of interest, as a function of the segmentation map, onto an unstained slide, wherein registering the segmented region of interest includes determining an orientation of the unstained slide corresponding to the segmented region of interest of the stained input slide, recording the orientation of the unstained slide relative to a reference plane, and registering the segmented region of interest to the unstained slide.

Abstract: 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.

Abstract: The present disclosure describes an exemplary system and method for the digitization of tissue slides based on associations among serial sections. The system includes at least a computing device, wherein the computing device includes a memory and processor communicatively connected to one another, and a scanner, configured to scan a slide and send a digitized image of the slide to the computing device. A method for the digitization of tissue slides based on associations among serial sections may include receiving a candidate tissue map associated with a candidate tissue section, receiving a reference tissue map associated with a reference tissue section, aligning the candidate tissue map to the reference tissue map, comparing the aligned candidate tissue map to the reference tissue map, and generating a regenerated candidate tissue map as a function of the reference tissue map.

Abstract: A method for visualization of digitized slides is disclosed. The method comprises retrieving, by one or more computer processors, a digitized slide, determining, by the one or more computer processors, one or more visualization components of the digitized slide, generating, by the one or more computer processors, a virtual slide corresponding to the digitized slide based on the one or more visualization components, and displaying, by the one or more computer processors, a visualization of the virtual slide.

Abstract: An apparatus for visualization of digitized glass slides belonging to a patient case having a processor and a memory communicatively connected to the processor, the memory containing instructions configuring the processor to receive an image data set having a plurality of images of one or more specimen and metadata of the plurality of images of the one or more specimen, identify one or more constituent virtualization components for each image of the plurality of images within image data set, determine a relationship between the one or more constituent visualization components as a function of the image data set, construct a plurality of virtual images as a function of the image data set and the relationship between the one or more virtual constituent components, wherein each of plurality of the images includes at least one virtual constituent component generate a consolidated virtual image as a function of the plurality of virtual images and display the consolidated virtual image.

Abstract: A system for slide marking technique for target tissue extraction and downstream application includes at least a marking device configured to receive a sample associated with a stained slide, to image an unstained surface of the sample associated with the stained slide, and to mark a region of interest on the sample. The system includes at least a computing device comprising at least a processor and a memory, the computing device configured to receive a stained slide image, the computing device configured to receive the image of the unstained surface of the sample, the computing device configured to determine a geometric registration of the unstained surface of the sample to the stained slide image, wherein determining the geometric registration comprises aligning the stained slide image with the image of the unstained surface, the computing device configured to determine the annotation mask as a function of the geometric registration.

Abstract: An apparatus for generating a confidence score associated with a scanned label is disclosed. 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 a profile comprising at least a label containing a plurality of metadata associated with the at least a label. The memory instructs the processor to generate a scanned label as a function of the at least a label, wherein generating a scanned label comprises scanning the at least a label using a text recognition module. The memory instructs the processor to determine a confidence score associated with the at least a label as a function of a comparison between the scanned label and a plurality of historical scanned labels. The memory instructs the processor to display the confidence score using a display device.

Abstract: A detection system implemented in a vehicle to detect free parking space is disclosed. The system comprises an input unit for imaging perspective view around the vehicle and a processing unit to receive a sequence of images from the at least one image sensor and detect at least one polygon pertaining to a parking slot in at least one image of the sequence of images, transform the at least one image into a bird's-eye-view image using a homography matrix, detect at least one quadrilateral pertaining to a parking slot, transform the bird's-eye-view image comprising the at least one quadrilateral, into corresponding image pertaining to perspective view around the vehicle using an inverse homography matrix, to analyse real world co-ordinates of the parking slot, and determine type of the parking slot by computing real world dimensions based on analysis of the real world co-ordinates of the parking slot.

Abstract: A detection system implemented in a vehicle to detect free parking space is disclosed. The system comprises an input unit for imaging perspective view around the vehicle and a processing unit to receive a sequence of images from the at least one image sensor and detect at least one polygon pertaining to a parking slot in at least one image of the sequence of images, transform the at least one image into a bird's-eye-view image using a homography matrix, detect at least one quadrilateral pertaining to a parking slot, transform the bird's-eye-view image comprising the at least one quadrilateral, into corresponding image pertaining to perspective view around the vehicle using an inverse homography matrix, to analyse real world co-ordinates of the parking slot, and determine type of the parking slot by computing real world dimensions based on analysis of the real world co-ordinates of the parking slot.