MODULE FOR IDENTIFICATION AND CLASSIFICATION TO SORT CELLS BASED ON THE NUCLEAR TRANSLOCATION OF FLUORESCENCE SIGNALS

MODULE FOR IDENTIFICATION AND CLASSIFICATION TO SORT CELLS BASED ON THE NUCLEAR TRANSLOCATION OF FLUORESCENCE SIGNALS

An Image Activated Cell Sorting (IACS) classification workflow includes: employing a neural network-based feature encoder (or extractor) to extract features of cell images; automatically clustering cells based on extracted cell features; identifying a cluster to pick which cluster(s) to sort based o...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Zordan, Michael, Tang, Haipeng, Chiang, Su-Hui, Huang, Ko-Kai Albert, Liu, Ming-Chang
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS
PHYSICS
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Beschreibung
Zusammenfassung:An Image Activated Cell Sorting (IACS) classification workflow includes: employing a neural network-based feature encoder (or extractor) to extract features of cell images; automatically clustering cells based on extracted cell features; identifying a cluster to pick which cluster(s) to sort based on the cell images; fine-tuning a classification network based on the cluster(s) selected; and once refined, the classification network is used to sort cells for real-time live sorting.