
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.
- Alaotsikko
- Biological Cell Classification by Time Stretch
- Kirjailija
- Ata Mahjoubfar, Claire Lifan Chen, Bahram Jalali
- Painos
- Softcover reprint of the original 1st ed. 2017
- ISBN
- 9783319846545
- Kieli
- englanti
- Paino
- 310 grammaa
- Julkaisupäivä
- 8.5.2018
- Kustantaja
- Springer International Publishing AG
- Sivumäärä
- 134