Method for Identification of Tissue Objects in IHC Without Specific Staining

    公开(公告)号:US20190178867A1

    公开(公告)日:2019-06-13

    申请号:US16271525

    申请日:2019-02-08

    Abstract: The present invention concerns detection of specific tissue objects within thin sections of tissue samples as imaged in a brightfield microscope, such as a predetermined type of immune cells, without using a chromogenic stain that is specific to those tissue objects. The invention uses fluorescent stain and fluorescence imaging to detect these tissue objects. By combining a brightfield and a fluorescence image of the same tissue sample, it is possible to automatically identify objects in the brightfield image that have been stained for in the fluorescence image. The fluorescence stain does not affect the appearance of the tissue sample under the brightfield microscope. Therefore, the invention is ideal to automate the collection of training data for machine learning systems that are to be trained to detect these specific tissue objects in brightfield images of tissue that has not been stained to specifically highlight these tissue objects.

    METHOD FOR ASSIGNING TISSUE NORMALIZATION FACTORS FOR DIGITAL IMAGE ANALYSIS

    公开(公告)号:US20170270660A1

    公开(公告)日:2017-09-21

    申请号:US15448550

    申请日:2017-03-02

    Abstract: Staining of tissue by is a common approach utilized to visualize a gene product in tissue context. In certain applications, it is necessary to report a sum of events within the tissue as a specific function of the target tissue area, which is a sub-area of the total tissue, as a normalization factor for reporting the quantification. Here, we describe methods of determining target tissue area and reporting a quantification which is ratiometric to the target tissue area, utilizing computer algorithms. It is important to assign a value for the “target tissue area” in scenarios where a tissue area normalization factor needed in the most pathologically relevant fashion during the application of tissue image analysis. We have created methods for determining and reporting “target tissue area” as normalization factor which are useful in diagnostic applications utilizing image analysis.

    Method for comparative visualization of image analysis features of tissue

    公开(公告)号:US10733732B2

    公开(公告)日:2020-08-04

    申请号:US16050907

    申请日:2018-07-31

    Abstract: In accordance with the embodiments herein, a method for displaying differences and similarities between tissue samples utilizing a reference database consisting of tissue images, image analysis features, and derived score from patient tissue samples assayed with a tissue-based test for the purpose of scoring said patient sample and guiding treatment based on said score. The method described herein utilizes digital image analysis of a tissue image of one or more tissue sections to extract features which generates a dataset mathematically representing the image. This dataset is then compared to the reference database to determine reference images with similar and different feature values. Those images are then displayed with the similar and different features highlighted.

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