Abstract: Systems and methods for creating and viewing three dimensional virtual slides are provided. One or more microscope slides are positioned in an image acquisition device that scans the specimens on the slides and makes two dimensional images at a medium or high resolution. This two dimensional images are provided to an image viewing workstation where they are viewed by an operator who pans and zooms the two dimensional image and selects an area of interest for scanning at multiple depth levels (Z-planes). The image acquisition device receives a set of parameters for the multiple depth level scan, including a location and a depth. The image acquisition device then scans the specimen at the location in a series of Z-plane images, where each Z-plane image corresponds to a depth level portion of the specimen within the depth parameter.

Abstract: Systems and methods for retrieving, manipulating, and viewing 3D image objects from 3D virtual microscope slide images (“3D digital slides”) are provided. An image library module provides access to the imagery data in a 3D digital slide and constructs 3D image objects that are coextensive with the 3D digital slide or a 3D sub-portion thereof. From within the 3D image object, cross layer planar views spanning various depths of the 3D digital slide are constructed as well as 3D prisms and other shaped image areas. The image library module allows a 3D image object to be sliced into horizontal and vertical views, skewed cross layer views and regular and irregular shaped 3D image areas for viewing by a user.

Abstract: Systems and methods for image pattern recognition comprise digital image capture and encoding using vector quantization (“VQ”) of the image. A vocabulary of vectors is built by segmenting images into kernels and creating vectors corresponding to each kernel. Images are encoded by creating a vector index file having indices that point to the vectors stored in the vocabulary. The vector index file can be used to reconstruct an image by looking up vectors stored in the vocabulary. Pattern recognition of candidate regions of images can be accomplished by correlating image vectors to a pre-trained vocabulary of vector sets comprising vectors that correlate with particular image characteristics.

Abstract: Systems and methods for processing, storing, and viewing extremely large imagery data rapidly produced by a linear-array-based microscope slide scanner are provided. The system receives, processes, and stores imagery data produced by the linear scanner as a series of overlapping image stripes and combines the data into a seamless and contiguous baseline image. The baseline image is logically mapped into a plurality of regions that are individually addressed to facilitate viewing and manipulation of the baseline image. The system enables dynamic imagery data compression while scanning and capturing new image stripes that eliminates the overhead associated with storing uncompressed image stripes. The system also creates intermediate level images, thereby organizing the baseline image into a variable level pyramid structure referred to as a virtual slide.

Abstract: Virtual slide image data and corresponding information are stored in a data storage area on a virtual slide image server. A client viewer requests image data at a particular resolution. The image server obtains corresponding image data from the data storage area at a resolution nearest to the requested resolution. The image data is then sent to the client viewer. The client viewer receives the image data and scales the image data to the requested resolution prior to displaying the image data.

Abstract: Systems and methods for creating and viewing three dimensional virtual slides are provided. One or more microscope slides are positioned in an image acquisition device that scans the specimens on the slides and makes two dimensional images at a medium or high resolution. This two dimensional images are provided to an image viewing workstation where they are viewed by an operator who pans and zooms the two dimensional image and selects an area of interest for scanning at multiple depth levels (Z-planes). The image acquisition device receives a set of parameters for the multiple depth level scan, including a location and a depth. The image acquisition device then scans the specimen at the location in a series of Z-plane images, where each Z-plane image corresponds to a depth level portion of the specimen within the depth parameter.

Abstract: Virtual slide image data and corresponding information are stored in a data storage area on a virtual slide image server. A client viewer requests image data at a particular resolution. The image server obtains corresponding image data from the data storage area at a resolution nearest to the requested resolution. The image data is then sent to the client viewer. The client viewer receives the image data and scales the image data to the requested resolution prior to displaying the image data.

Abstract: Systems and methods for assessing and optimizing virtual microscope slide image quality are provided. In order to determine whether a virtual slide image has any out of focus areas and is therefore a candidate for manual inspection, the various focus points used to scan the virtual slide image are used to calculate a best fit surface for the virtual slide image. The distance of each focus point from the best fit surface is then calculated and the largest distance is compared to a predetermined value. If the largest distance from a focus point to the best fit surface is larger than the predetermined value, then the virtual slide image is designated as needing a manual inspection and possible re-scan.

Abstract: Systems and methods for creating and viewing three dimensional virtual slides are provided. One or more microscope slides are positioned in an image acquisition device that scans the specimens on the slides and makes two dimensional images at a medium or high resolution. This two dimensional images are provided to an image viewing workstation where they are viewed by an operator who pans and zooms the two dimensional image and selects an area of interest for scanning at multiple depth levels (Z-planes). The image acquisition device receives a set of parameters for the multiple depth level scan, including a location and a depth. The image acquisition device then scans the specimen at the location in a series of Z-plane images, where each Z-plane image corresponds to a depth level portion of the specimen within the depth parameter.

Abstract: Systems and methods for assessing virtual microscope slide image quality are provided. In order to determine whether a virtual slide image has any out of focus areas and is therefore a candidate for manual inspection, the various focus points used to scan the virtual slide image are used to calculate a best fit surface for the virtual slide image. The distance of each focus point from the best fit surface is then calculated and the largest distance is compared to a predetermined value. If the largest distance from a focus point to the best fit surface is larger than the predetermined value, then the virtual slide image is designated as needing a manual inspection and possible re-scan.

Abstract: Methods and apparatus are provided for computing focus information prior to scanning digital microscope slides with a line scan camera. The methods include a point-focus procedure that works by moving the slide to the desired measurement location, moving the objective lens through a predefined set of height values, acquiring imagery data at each height, and determining the height of maximum contrast. The methods also include a ribbon-focus procedure whereby imagery data are acquired continuously, while the slide and objective lens are in motion. Both methods may be applied with either a static or a dynamic implementation.

Abstract: Methods and apparatus are provided for computing focus information prior to scanning digital microscope slides with a line scan camera. The methods include a point-focus procedure that works by moving the slide to the desired measurement location, moving the objective lens through a predefined set of height values, acquiring imagery data at each height, and determining the height of maximum contrast. The methods also include a ribbon-focus procedure whereby imagery data are acquired continuously, while the slide and objective lens are in motion. Both methods may be applied with either a static or a dynamic implementation.

Abstract: Methods and apparatus are provided for computing focus information prior to scanning digital microscope slides with a line scan camera. The methods include a point-focus procedure that works by moving the slide to the desired measurement location, moving the objective lens through a predefined set of height values, acquiring imagery data at each height, and determining the height of maximum contrast. The methods also include a ribbon-focus procedure whereby imagery data are acquired continuously, while the slide and objective lens are in motion. Both methods may be applied with either a static or a dynamic implementation.

Abstract: A system and method for processing and analyzing virtual microscopy digital images (“virtual slides”) is provided. The system comprises an algorithm server that maintains or has access to a plurality of image processing and analysis routines. The algorithm server additionally has access to a plurality of virtual slides. The algorithm server executes a selected routine on an identified virtual slide and provides the resulting data. The virtual slide can be accessed locally or remotely across a network. Similarly, the image processing routines can be obtained from local storage or across a network, or both. Advantageously, certain common sub-routines may be stored locally for inclusion in other local or remotely obtained routines. Access to image processing and analysis may be restricted through a monitor process that authenticates requests to process or view virtual slides.

Abstract: Apparatus for and method of rapid three dimensional scanning and digitizing of an entire microscope sample, or a substantially large portion of a microscope sample, using a tilted sensor synchronized with a positioning stage. The system also provides a method for interpolating tilted image layers into a orthogonal tree dimensional array or into its two dimensional projection as well as a method for composing the volume strips obtained from successive scans of the sample into a single continuous digital image or volume.

Abstract: A system and method for processing and analyzing virtual microscopy digital images (“digital slides”) is provided. The system comprises an algorithm server that maintains or has access to a plurality of image processing and analysis routines. The algorithm server additionally has access to a plurality of digital slides. The algorithm server executes a selected routine on an identified digital slide and provides the resulting data. The digital slide can be accessed locally or remotely across a network. Similarly, the image processing routines can be obtained from local storage or across a network, or both. Advantageously, certain common sub-routines may be stored locally for inclusion in other local or remotely obtained routines. Access to image processing and analysis may be restricted through a monitor process that authenticates requests to process or view digital slides.

Abstract: Systems and methods for image pattern recognition comprise digital image capture and encoding using vector quantization (“VQ”) of the image. A vocabulary of vectors is built by segmenting images into kernels and creating vectors corresponding to each kernel. Images are encoded by creating a vector index file having indices that point to the vectors stored in the vocabulary. The vector index file can be used to reconstruct an image by looking up vectors stored in the vocabulary. Pattern recognition of candidate regions of images can be accomplished by correlating image vectors to a pre-trained vocabulary of vector sets comprising vectors that correlate with particular image characteristics.

Abstract: Apparatus for and method of fully automatic rapid scanning and digitizing of an entire microscope sample, or a substantially large portion of a microscope sample, using a linear array detector synchronized with a positioning stage that is part of a computer controlled microscope slide scanner. The invention provides a method for composing the image strips obtained from successive scans of the sample into a single contiguous digital image. The invention also provides a method for statically displaying sub-regions of this large digital image at different magnifications, together with a reduced magnification macro-image of the entire sample. The invention further provides a method for dynamically displaying, with or without operator interaction, portions of the contiguous digital image. In one preferred embodiment of the invention, all elements of the scanner are part of a single-enclosure that has a primary connection to the Internet or to a local intranet.

Abstract: Systems and methods for creating and viewing three dimensional virtual slides are provided. One or more microscope slides are positioned in an image acquisition device that scans the specimens on the slides and makes two dimensional images at a medium or high resolution. This two dimensional images are provided to an image viewing workstation where they are viewed by an operator who pans and zooms the two dimensional image and selects an area of interest for scanning at multiple depth levels (Z-planes). The image acquisition device receives a set of parameters for the multiple depth level scan, including a location and a depth. The image acquisition device then scans the specimen at the location in a series of Z-plane images, where each Z-plane image corresponds to a depth level portion of the specimen within the depth parameter.

Abstract: Methods and apparatus are provided for computing focus information prior to scanning microscope slides with a line scan camera. The methods include a point-focus procedure that works by moving the slide to the desired measurement location, moving the objective lens through a predefined set of height values, acquiring imagery data at each height, and determining the height of maximum contrast. The methods also include a ribbon-focus procedure whereby imagery data are acquired continuously, while the slide and objective lens are in motion. Both methods may be applied with either a static or a dynamic implementation.