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| Full Title | Artificial Intelligence in Label-free Microscopy Biological Cell Classification by Time Stretch |
|---|---|
| Author(s) | Ata Mahjoubfar, Claire Lifan Chen, Bahram Jalali |
| Edition | |
| ISBN | 9783319514482, 9783319514475 |
| Publisher | Springer |
| Format | PDF and EPUB |
This book 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. The authors also demonstrate a complete machine learning pipeline that performs optical phase measurement, image processing, feature extraction, and classification, enabling high-throughput quantitative imaging that achieves record high accuracy in label -free cellular phenotypic screening and opens up a new path to data-driven diagnosis.
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