Abstract:
A system that determines the quality of a digital microscope slide by analyzing digital slide images based on complexity and spatial frequencies. An example embodiment detailed in the application may provide visual feedback on the whole slide quality by overlaying the image with a color coded "heat map" of local area quality. A user provided with the overlap image may obtain both an absolute quality measurement for the whole image and quickly identity the quality variability within the slide.
Abstract:
A digital slide analysis 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 slide images. The algorithm server executes a selected routine on an identified digital slide and provides the resulting data. Prior to the application of selected routine, the system employs a digital pre-processing module to create a metadata mask that reduces undesirable image data such that the image data processed by the selected routine has an improved signal to noise ratio. The pre-processing module uses a classifier that may be implemented as a pattern recognition module, for example. Undesirable image data is therefore excluded from the image data that is processed by the digital pathology image processing and analysis routine, which significantly improves the digital pathology image analysis.
Abstract:
Systems and methods for retrieving, manipulating, and viewing 3D image objects from 3D virtual microscope slide images are provided. An image library module provides access to the imagery data in a 3D virtual slide and constructs 3D image objects that are coextensive with the 3D virtual slide or a 3D sub-portion thereof. From within the 3D image object, cross layer planar views spanning various depths of the 3D virtual 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. In virtual microscopy, the systems and methods are suitable for rare-event finding, such as detection of micrometastasis clusters, tissue identification, such as locating regions of analysis for immunohistochemical assays, and rapid screening of tissue samples, such as histology sections arranged as tissue microarrays (TMAs).
Abstract:
Systems and methods for tracking a slide comprising a tissue sample. In an embodiment, data is received from a Laboratory Information System (LIS) barcode associated with a slide and a proprietary barcode generated by a slide staining system, such as a Ventana slide staining system, to track the slide through the staining process. A new label is printed that contains both the LIS barcode and the proprietary barcode, and is attached to the slide. When the slide is subsequently scanned by a slide scanning system, the slide scanning system reads and decodes the LIS barcode to obtain a LIS barcode value. The LIS barcode value may then be used to retrieve information associated with the slide.
Abstract:
An improved diagnostic resolution of digital slide images is obtained by scanning a first digital slide image at diagnostic resolution that is then deconvolved into separate images with one stain per image. The single stain images are then enhanced with image adjustments and/or processed with image analysis algorithms. The resulting single image data sets from the image analysis algorithms can then be stored. Additionally, the resulting enhanced single images can be recombined into a second digital slide image at diagnostic resolution that is also enhanced.
Abstract:
Images created by one or more image acquisition devices are initially stored in remote data bases at one or more remote or satellite locations and copies of the images are subsequently transferred to a central server at a central storage location over a network and stored in a central data base. A common catalog listing local image files stored at the central data base and remote image files stored at one or more remote data bases is stored at the central location and is accessed by users to search for images. User requests for images associated with local image files result in transfer of the requested images by the central server to the user. User requests for images associated with remote image files are relayed by the central server to the associated remote location, and the requested images are then relayed to the user from the remote location via the central server.
Abstract:
Systems and methods for microscope slide scanning using multiple sensor arrays that receive imagery data from a single optical axis are provided. A single, high quality, easily obtained microscope objective lens is used to project an image onto two or more sensor arrays. The sensor arrays can be linear or two dimensional and imaging takes place along a single optical axis. Simultaneous sensor acquisition and parallel data processing reduce the image acquisition time by a factor of N, where N represents the number of sensors employed.
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:
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 (250). These two dimensional images are provided to an image viewing workstation where they are viewed by an operator (255) 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 (270). 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 (275).