Abstract: Computer-implemented methods and systems are provided for managing one or more images. An example method for indexing involves operating a processor to, divide an image portion of an image of the one or more images into a plurality of patches, for each patch of the image: detect one or more features of the patch; and assign the patch to at least one cluster of a plurality of clusters of the image, based on the one or more features of the patch. The processor is operable to, for each cluster of the image, select at least one patch from the cluster as at least one representative patch for the cluster; for each representative patch, generate an encoded representation based on one or more features of the representative patch; and generate an index identifier for the image based on the encoded representations of the representative patches of the image.

Abstract: A content-based image retrieval (CBIR) system and method is presented herein. The CBIR system generates a relatively short vector or array of data, referred to as a barcode, from an input image. The short vector or array data can be used to represent the content of the image for image retrieval purposes. The system obtains the image and applies a transform to the image to generate a plurality of image transform values. The system thresholds the plurality of image transform values to obtain compact image transform values. The system generates a barcode in accordance with the compact image transform values and representative of the image. The system may then transmit the barcode to a database for storage or draw the barcode on a display. The system may also compare barcodes to find and retrieve similar images associated with similar barcodes.

Abstract: Various image diagnostic systems, and methods of operating thereof, are disclosed herein. Example embodiments relate to operating the image diagnostic system to identify one or more tissue types within an image patch according to a hierarchical histological taxonomy, identifying an image patch associated with normal tissue, generating a pixel-level segmented image patch for an image patch, generating an encoded image patch for an image patch of at least one tissue, searching for one or more histopathological images, and assigning an image patch to one or more pathological cases.

Abstract: Computer-implemented methods and systems are provided for curating medical images for a medical image database. An example method for curating involves operating a processor to obtain a query medical image, assign the query medical image to an initial set of related images, and generate a similarity indicator for each image of the initial set. The similarity indicator is representative of a measure of similarity between image data of that image and the initial set. The processor is operable to define an intermediate set from the initial set based on the similarity indicators; and generate a relevancy indicator for each image of the intermediate set. The relevancy indicator is representative of a measure of the relevancy between relevance of the image and the intermediate set. The processor is operable to define a curated set of images from the intermediate set based on the relevancy indicators.

Abstract: Computer-implemented methods and systems are provided for generating encoded representations for multiple magnifications of one or more query images. An example method for involves operating a processor to obtain a query image and identify a set of anchor points within the query image. The processor is operable to generate a plurality of sub-images for a plurality of magnification levels for each anchor point. Each sub-image includes the anchor point and corresponds to a magnification level of the plurality of magnification levels. The processor is operable to, for each magnification level, apply an artificial neural network model to a group of sub-images having that magnification level to extract a feature vector representative of image characteristics of the query image at that magnification level; and to generate an encoded representation for multiple magnifications of the query image based on the feature vectors extracted for the plurality of magnification levels.

Abstract: Computer-implemented methods and systems are provided for curating medical images for a medical image database. An example method for curating involves operating a processor to obtain a query medical image, assign the query medical image to an initial set of related images, and generate a similarity indicator for each image of the initial set. The similarity indicator is representative of a measure of similarity between image data of that image and the initial set. The processor is operable to define an intermediate set from the initial set based on the similarity indicators; and generate a relevancy indicator for each image of the intermediate set. The relevancy indicator is representative of a measure of the relevancy between relevance of the image and the intermediate set. The processor is operable to define a curated set of images from the intermediate set based on the relevancy indicators.

Abstract: Various image diagnostic systems, and methods of operating thereof, are disclosed herein. Example embodiments relate to operating the image diagnostic system to identify one or more tissue types within an image patch according to a hierarchical histological taxonomy, identifying an image patch associated with normal tissue, generating a pixel-level segmented image patch for an image patch, generating an encoded image patch for an image patch of at least one tissue, searching for one or more histopathological images, and assigning an image patch to one or more pathological cases.

Abstract: Computer-implemented methods and systems are provided for curating medical images for a medical image database. An example method for curating involves operating a processor to obtain a query medical image, assign the query medical image to an initial set of related images, and generate a similarity indicator for each image of the initial set. The similarity indicator is representative of a measure of similarity between image data of that image and the initial set. The processor is operable to define an intermediate set from the initial set based on the similarity indicators; and generate a relevancy indicator for each image of the intermediate set. The relevancy indicator is representative of a measure of the relevancy between relevance of the image and the intermediate set. The processor is operable to define a curated set of images from the intermediate set based on the relevancy indicators.

Abstract: A content-based image retrieval (CBIR) system and method is presented herein. The CBIR system generates a relatively short vector or array of data, referred to as a barcode, from an input image. The short vector or array data can be used to represent the content of the image for image retrieval purposes. The system obtains the image and applies a transform to the image to generate a plurality of image transform values. The system thresholds the plurality of image transform values to obtain compact image transform values. The system generates a barcode in accordance with the compact image transform values and representative of the image. The system may then transmit the barcode to a database for storage or draw the barcode on a display. The system may also compare barcodes to find and retrieve similar images associated with similar barcodes.

Abstract: Various image diagnostic systems, and methods of operating thereof, are disclosed herein. Example embodiments relate to operating the image diagnostic system to identify one or more tissue types within an image patch according to a hierarchical histological taxonomy, identifying an image patch associated with normal tissue, generating a pixel-level segmented image patch for an image patch, generating an encoded image patch for an image patch of at least one tissue, searching for one or more histopathological images, and assigning an image patch to one or more pathological cases.

Abstract: A content-based image retrieval (CBIR) system and method is presented herein. The CBIR system generates a relatively short vector or array of data, referred to as a barcode, from an input image. The short vector or array data can be used to represent the content of the image for image retrieval purposes. The system obtains the image and applies a transform to the image to generate a plurality of image transform values. The system thresholds the plurality of image transform values to obtain compact image transform values. The system generates a barcode in accordance with the compact image transform values and representative of the image. The system may then transmit the barcode to a database for storage or draw the barcode on a display. The system may also compare barcodes to find and retrieve similar images associated with similar barcodes.

Abstract: According to one aspect, an instrument for scanning a specimen. The instrument includes a scanning stage for supporting the specimen, a detector having a plurality of pixels, the scanning stage and the detector movable relative to each other to move the specimen in a scan direction during a scan, and a pulsed illumination source synchronized with the motion of the specimen on the scanning stage. At least some of the pixels of the detector are operable to collect light emitted from the specimen during the scan due to the pulsed illumination source and generate corresponding image data. The instrument may further include a processor operable to perform MSIA on the image data to generate an image of the specimen.

Abstract: A mosaic scan filter array has a plurality of identical tiles, each tile have n rows and m columns where n is equal to a greater than 1 and m is equal to a greater than 2. One row of tiles extends a width of a detector array and constitutes a base pattern. The base pattern is repeated M times and each repetition is laterally offset in one direction by one pixel width. The base pattern and laterally offset repetitions constitute a repeat pattern. There are M×N filters selected from the group of one or more of the following: RGBW filters, fluorescence emission filters and a series of narrow spectral band filters covering a continuous spectral range. The mosaic scan filter arrays can be used with a scanning microscope or a scanning camera.

Abstract: According to some examples, an instrument for scanning a specimen on a specimen holder. The instrument includes a scanning stage for supporting the specimen, and a detector having a plurality of pixels. The scanning stage and the detector are movable relative to each other to move the specimen in a scan direction during a scan. At least some of the pixels of the detector are operable to collect light from different depths inside the specimen during the scan and generate corresponding image data. The instrument also includes a processor operable to perform MSIA on the image data to generate a 3D image of the specimen.

Abstract: A computer-implemented method and system are provided for generating an encoded representation for one or more images. The method involves operating a processor to, for at least one image portion of a plurality of image portions of the image, receive a set of projection data representing an image intensity of the image portion along a plurality of projection directions; and identify a subset of projection data from the set of projection data associated with one or more dominant features. The set of projection data includes a subset of projection data for each projection direction of the plurality of projection directions. The processor is operable to generate the encoded representation based at least on a data variation within the subset of projection data for the at least one image portion.

Abstract: An instrument for imaging a specimen or a portion of a specimen is configured to capture multiple image frames of the portion of the specimen being scanned using Moving Specimen Image Average (MSIA) to create one or more image strips. The instrument is configured to use an active area of a two dimensional sensor array that covers substantially all of the width of the sensor array but less than a length. The one or more image strips are created from the multiple image frames as each of the multiple image frames is captured. Preferably, the instrument is configured to remove blurring, caused by distortion of the optics, by software or by warping a grid of the two dimensional detector array, including TDI array.

Abstract: An instrument for scanning a specimen on a specimen holder. The instrument includes a scanning stage for supporting the specimen and a detector having a plurality of pixels. The scanning stage and the detector are movable relative to each other to move the specimen in a scan direction during a scan, and at least some of the pixels of the detector are operable to collect light inside the specimen during the scan and generate corresponding image data. The instrument also includes a processor operable to perform MSIA on the image data and to generate two or more strip images. Each strip image has a different effective exposure. The processor combines the two or more strip images to generate an increased dynamic range (IDR) image of the specimen.

Abstract: A content-based image retrieval (CBIR) system and method is presented herein. The CBIR system generates a relatively short vector or array of data, referred to as a barcode, from an input image. The short vector or array data can be used to represent the content of the image for image retrieval purposes. The system obtains the image and applies a transform to the image to generate a plurality of image transform values. The system thresholds the plurality of image transform values to obtain compact image transform values. The system generates a barcode in accordance with the compact image transform values and representative of the image. The system may then transmit the barcode to a database for storage or draw the barcode on a display. The system may also compare barcodes to find and retrieve similar images associated with similar barcodes.

Abstract: A scanning microscope and method of operation has a scan filter with a repeat pattern of a plurality of rows that is repeated at least across an active area of an entire surface of an area detector. Each row is covered by a bandpass filter or an emission filter for a specific fluorophore or filters of a particular colour for each row. The scanning microscope can be used to obtain one or more of hyperspectral images, multispectral images, RGB images, RGBW images, W images and Single Field Of View images of a specimen using Moving Specimen Image Averaging. A method of obtaining one or more of the images is also described.

Abstract: An instrument and a method of scanning a large microscope specimen moves the specimen relative to a detector array during scanning by a scanner. Magnification of the instrument is adjustable using a zoom tube lens over a continuous range of magnification to enable scans of the specimen to be taken over a range of resolutions without varying the infinity corrective objective. Scans of the specimen can be taken over a range of resolutions with the same infinity connected objective.