
Artificial Intelligence in Label-free Microscopy
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.
- Undertittel
- Biological Cell Classification by Time Stretch
- Forfatter
- Ata Mahjoubfar, Claire Lifan Chen, Bahram Jalali
- Opplag
- Softcover reprint of the original 1st ed. 2017
- ISBN
- 9783319846545
- Språk
- Engelsk
- Vekt
- 310 gram
- Utgivelsesdato
- 8.5.2018
- Antall sider
- 134
