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:
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. Variations in restrictions to images provide a rich diversity in access levels that allow sharing of virtual slides and demonstrations of image processing algorithms.
Abstract:
Medical image based collaboration system and methods are provided. A collaboration server 40 creates a medical image based case in response to a request from a requesting system 10 and populates the case with the minimum required information comprising at least a digital medical image and a case number. The collaboration server 40 provides the medical image based case to a consulting system 30 and receives analysis information in response. The collaboration server 40 stores the analysis information in association with the medical image based case and provides the analysis information to the consulting system 30 to complete the medical image based collaboration.
Abstract:
Systems and methods for standardizing one or more fluorescence scanning instruments to a reference system by separating the effects of drift and normalization. In an embodiment, a drift image comprising an image of a drift reference slide is captured by a system to be standardized. A drift measurement is calculated using the drift image. A first normalization image comprising an image of a normalization slide is also captured by the system to be standardized. A reference normalization image, also comprising an image of the normalization slide, is captured by a reference system. The first normalization image is compared to the reference normalization image to determine a gamma value and offset value for the system to be standardized.
Abstract:
Systems and methods for standardizing one or more fluorescence scanning instruments to a reference system by separating the effects of drift and normalization. In an embodiment, a drift image comprising an image of a drift reference slide is captured by a system to be standardized. A drift measurement is calculated using the drift image. A first normalization image comprising an image of a normalization slide is also captured by the system to be standardized. A reference normalization image, also comprising an image of the normalization slide, is captured by a reference system. The first normalization image is compared to the reference normalization image to determine a gamma value and offset value for the system to be standardized.
Abstract:
A whole slide fluorescence digital pathology system is provided that uses a monochrome TDI line scan camera, which is particularly useful in fluorescence scanning where the signal is typically much weaker than in brightfield microscopy. The system uses oblique brightfield illumination for fast and accurate tissue finding and employs a unique double sweep focus scoring and objective lens height averaging technique to identify focus points and create a focus map that can be followed during subsequent scanning to provide autofocusing capability. The system also scans and analyzes image data to determine the optimal line rate for the TDI line scan camera to use during subsequent scanning of the digital slide image and it also creates a light profile to compensate for loss of illumination light due to roll off.
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 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:
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.