Artificial Intelligence in Label-Free Microscopy: Biological Cell Classification by Time Stretch

This work introduces time-stretch quantitative phase imaging (TS-QPI), a high-throughput label-free imaging flow cytometer developed for big data acquisition and analysis in phenotypic screening. TS-QPI is able to capture quantitative optical phase and intensity images simultaneously, enabling high-...

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Hauptverfasser:	Mahjoubfar, Ata, Chen, Claire Lifan, Jalali, Bahram
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Sprache:	eng
Schlagworte:	Artificial intelligence Bioinformatics Biomedical Engineering and Bioengineering Electronics and Microelectronics, Instrumentation Engineering Image Processing and Computer Vision Microscopy
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creator	Mahjoubfar, Ata Chen, Claire Lifan Jalali, Bahram
description	This work introduces time-stretch quantitative phase imaging (TS-QPI), a high-throughput label-free imaging flow cytometer developed for big data acquisition and analysis in phenotypic screening. TS-QPI is able to capture quantitative optical phase and intensity images simultaneously, enabling high-content cell analysis, cancer diagnostics, personalized genomics, and drug development.
doi_str_mv	10.1007/978-3-319-51448-2
format	Book
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subjects	Artificial intelligence Bioinformatics Biomedical Engineering and Bioengineering Electronics and Microelectronics, Instrumentation Engineering Image Processing and Computer Vision Microscopy
title	Artificial Intelligence in Label-Free Microscopy: Biological Cell Classification by Time Stretch
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