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公开(公告)号：US20240064400A1
公开(公告)日：2024-02-22
申请号：US18500231
申请日：2023-11-02
Applicant: Leica Biosystems Imaging, Inc.
Inventor： Allen H. OLSON , Yunlu ZOU , Bharat ANNALDAS , Leng-Chun CHEN
CPC classification number: H04N23/67 , G02B21/002 , G02B21/244 , G02B21/367 , H04N3/06 , H04N23/90 , H04N23/56
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.
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公开(公告)号：US20190206056A1
公开(公告)日：2019-07-04
申请号：US16230820
申请日：2018-12-21
Applicant: Leica Biosystems Imaging, Inc.
Inventor： Walter GEORGESCU , Allen OLSON , Bharat ANNALDAS , Darragh LAWLER , Kevin SHIELDS , Kiran SALIGRAMA , Mark GREGSON
Abstract: A convolutional neural network (CNN) is applied to identifying tumors in a histological image. The CNN has one channel assigned to each of a plurality of tissue classes that are to be identified, there being at least one class for each of non-tumorous and tumorous tissue types. Multi-stage convolution is performed on image patches extracted from the histological image followed by multi-stage transpose convolution to recover a layer matched in size to the input image patch. The output image patch thus has a one-to-one pixel-to-pixel correspondence with the input image patch such that each pixel in the output image patch has assigned to it one of the multiple available classes. The output image patches are then assembled into a probability map that can be co-rendered with the histological image either alongside it or over it as an overlay. The probability map can then be stored linked to the histological image.
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公开(公告)号：US20170300617A1
公开(公告)日：2017-10-19
申请号：US15517489
申请日：2016-12-12
Applicant: LEICA BIOSYSTEMS IMAGING, INC.
Inventor： Walter GEORGESCU , Kiran SALIGRAMA , Allen OLSON , Bharat ANNALDAS
CPC classification number: G06F19/24 , G06K9/00 , G06K9/0014 , G06K9/62 , G06K9/80 , G06T7/11 , G06T7/62 , G06T2207/30024
Abstract: Automatic nuclear segmentation. In an embodiment, a plurality of superpixels are determined in a digital image. For each of the superpixels, any superpixels located within a search radius from the superpixel are identified, and, for each unique local combination between the superpixel and any identified superpixels located within the search radius from the superpixel, a local score for the local combination is determined. One of a plurality of global sets of local combinations with an optimum global score is identified based on the determined local scores.
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