Abstract: Real-time focusing in a slide-scanning system. In an embodiment, focus points are added to 500 an initialized focus map while acquiring a plurality of image stripes of a sample on a glass slide. For each image stripe, a plurality of frames, collectively representing the image stripe, may be acquired using both an imaging line-scan camera and a tilted focusing line-scan camera. Focus points, representing positions of best focus for trusted frames, are added to the focus map. Outlying focus points are removed from the focus map. In some cases, one or more image stripes may be reacquired. Finally, the image stripes are assembled into a composite image of the sample.

Abstract: Real-time focusing in a slide-scanning system. In an embodiment, focus points are added to an initialized focus map while acquiring a plurality of image stripes of a sample on a glass slide. For each image stripe, a plurality of frames, collectively representing the image stripe, may be acquired using both an imaging line-scan camera and a tilted focusing line-scan camera. Focus points, representing positions of best focus for trusted frames, are added to the focus map. Outlying focus points are removed from the focus map. In some cases, one or more image stripes may be reacquired. Finally, the image stripes are assembled into a composite image of the sample.

Abstract: Features are disclosed for training a machine learning model to identify objects in histological images. A system may obtain an image and determine a number of objects in the image. For example, the system may determine a percentage of objects in the image with a particular object type. Further, the system may determine a weight. The weight may specify a percentage of the image occupied by objects with the particular object type. The system can generate training set data that includes the image, data identifying the number of objects in the image, and the weight. The system can use the training set data to train a machine learning model to predict a number of objects in a different image and a weight. The system can implement the machine learning model based on training the machine learning model.

Abstract: Real-time focusing in a slide-scanning system. In an embodiment, focus points are added to an initialized focus map while acquiring a plurality of image stripes of a sample on a glass slide. For each image stripe, a plurality of frames, collectively representing the image stripe, may be acquired using both an imaging line-scan camera and a tilted focusing line-scan camera. Focus points, representing positions of best focus for trusted frames, are added to the focus map. Outlying focus points are removed from the focus map. In some cases, one or more image stripes may be reacquired. Finally, the image stripes are assembled into a composite image of the sample.

Abstract: Systems and methods for capturing image data using a line scan camera. In an embodiment, a line scan camera captures image data of a sample as a plurality of image stripes. A processor may coarsely align two or more of the plurality of image stripes according to a synchronization process while the line scan camera is capturing at least one of the plurality of image stripes. Subsequently, the processor may also finely align the two or more image stripes using pattern matching.

Abstract: Systems and methods for capturing image data using a line scan camera. In an embodiment, a line scan camera captures image data of a sample as a plurality of image stripes. A processor may coarsely align two or more of the plurality of image stripes according to a synchronization process while the line scan camera is capturing at least one of the plurality of image stripes. Subsequently, the processor may also finely align the two or more image stripes using pattern matching.

Abstract: Systems and methods for capturing image data using a line scan camera. In an embodiment, a line scan camera captures image data of a sample as a plurality of image stripes. A processor may coarsely align two or more of the plurality of image stripes according to a synchronization process while the line scan camera is capturing at least one of the plurality of image stripes. Subsequently, the processor may also finely align the two or more image stripes using pattern matching.

Abstract: Systems and methods for capturing image data using a line scan camera. In an embodiment, a line scan camera captures image data of a sample as a plurality of image stripes. A processor may coarsely align two or more of the plurality of image stripes according to a synchronization process while the line scan camera is capturing at least one of the plurality of image stripes. Subsequently, the processor may also finely align the two or more image stripes using pattern matching.

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: 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: 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: 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: 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: 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: 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: 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: A data management system and method for processing, storing, and viewing the extremely large imagery data that is rapidly produced by a linear-array-based microscope slide scanner is provided. The system receives, processes, and stores imagery data produced by the linear-array-based microscope slide scanner at approximately 3 GB per minute. The data are received as a series of overlapping image stripes and combined 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 data management system enables imagery data compression while scanning and capturing new image stripes. This advantageously eliminates the overhead associated with storing uncompressed image stripes. The image compression also creates intermediate level images, thereby organizing the baseline image into a variable level pyramid structure referred to as a virtual slide.

Abstract: A data management system and method for processing, storing, and viewing the extremely large imagery data that is rapidly produced by a linear-array-based microscope slide scanner is provided. The system receives, processes, and stores imagery data produced by the linear-array-based microscope slide scanner at approximately 3 GB per minute. The data are received as a series of overlapping image stripes and combined 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 data management system enables imagery data compression while scanning and capturing new image stripes. This advantageously eliminates the overhead associated with storing uncompressed image stripes. The image compression also creates intermediate level images, thereby organizing the baseline image into a variable level pyramid structure referred to as a virtual slide.

Abstract: A data management system and method for processing, storing, and viewing the extremely large imagery data that is rapidly produced by a linear-array-based microscope slide scanner is provided. The system receives, processes, and stores imagery data produced by the linear-array-based microscope slide scanner at approximately 3 GB per minute. The data are received as a series of overlapping image stripes and combined 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 data management system enables imagery data compression while scanning and capturing new image stripes. This advantageously eliminates the overhead associated with storing uncompressed image stripes. The image compression also creates intermediate level images, thereby organizing the baseline image into a variable level pyramid structure referred to as a virtual slide.