Invention Grant
- Patent Title: Method and system for digital staining of microscopy images using deep learning
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Application No.: US17783260Application Date: 2020-12-22
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Publication No.: US12300006B2Publication Date: 2025-05-13
- Inventor: Aydogan Ozcan , Yair Rivenson , Hongda Wang , Yilin Luo , Kevin de Haan , Yijie Zhang , Bijie Bai
- Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
- Applicant Address: US CA Oakland
- Assignee: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
- Current Assignee: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
- Current Assignee Address: US CA Oakland
- Agency: VISTA IP LAW GROUP LLP
- International Application: PCT/US2020/066708 WO 20201222
- International Announcement: WO2021/133847 WO 20210701
- Main IPC: G06V20/00
- IPC: G06V20/00 ; G06T7/00 ; G06V10/82 ; G06V20/69

Abstract:
A deep learning-based digital/virtual staining method and system enables the creation of digitally/virtually-stained microscopic images from label or stain-free samples. In one embodiment, the method of generates digitally/virtually-stained microscope images of label-free or unstained samples using fluorescence lifetime (FLIM) image(s) of the sample(s) using a fluorescence microscope. In another embodiment, a digital/virtual autofocusing method is provided that uses machine learning to generate a microscope image with improved focus using a trained, deep neural network. In another embodiment, a trained deep neural network generates digitally/virtually stained microscopic images of a label-free or unstained sample obtained with a microscope having multiple different stains. The multiple stains in the output image or sub-regions thereof are substantially equivalent to the corresponding microscopic images or image sub-regions of the same sample that has been histochemically stained.
Public/Granted literature
- US20230030424A1 METHOD AND SYSTEM FOR DIGITAL STAINING OF MICROSCOPY IMAGES USING DEEP LEARNING Public/Granted day:2023-02-02
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