Artificial Intelligence in Label-free Microscopy
Biological Cell Classification by Time Stretch| By: | Ata Mahjoubfar; Claire Lifan Chen; Bahram Jalali |
| Publisher: | Springer Nature |
| Print ISBN: | 9783319514475 |
| eText ISBN: | 9783319514482 |
| Edition: | 0 |
| Copyright: | 2017 |
| Format: | Page Fidelity |
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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.