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

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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Bibliographische Detailangaben
Hauptverfasser: Mahjoubfar, Ata, Chen, Claire Lifan, Jalali, Bahram
Format: Buch
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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Beschreibung
Zusammenfassung: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:10.1007/978-3-319-51448-2