Invention Grant
- Patent Title: Systems and methods for classifying activated T cells
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Application No.: US16992539Application Date: 2020-08-13
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Publication No.: US11410440B2Publication Date: 2022-08-09
- Inventor: Melissa C. Skala , Anthony Gitter , Zijie Wang , Alexandra J. Walsh
- Applicant: Wisconsin Alumni Research Foundation
- Applicant Address: US WI Madison
- Assignee: Wisconsin Alumni Research Foundation
- Current Assignee: Wisconsin Alumni Research Foundation
- Current Assignee Address: US WI Madison
- Agency: Quarles & Brady, LLP
- Main IPC: G06V20/69
- IPC: G06V20/69 ; C12N5/0783 ; G06K9/62 ; G06V10/44

Abstract:
Systems and methods for classifying and/or sorting T cells by activation state are disclosed. The system includes a cell classifying pathway, a single-cell autofluorescence image sensor, a processor, and a non-transitory computer-readable memory. The memory is accessible to the processor and has stored thereon a trained convolutional neural network and instructions. The instructions, when executed by the processor, cause the processor to: a) receive the autofluorescence intensity image; b) optionally pre-process the autofluorescence intensity image to produce an adjusted autofluorescence intensity image; c) input the autofluorescence intensity image or the adjusted autofluorescence intensity image into the trained convolutional neural network to produce an activation prediction for the T cell.
Public/Granted literature
- US20210049346A1 SYSTEMS AND METHODS FOR CLASSIFYING ACTIVATED T CELLS Public/Granted day:2021-02-18
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