Artificial Intelligence in Label-free Microscopy: Biological Cell Classification by Time Stretch
by Ata Mahjoubfar, Claire Lifan Chen and Bahram Jalali
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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.
Details
- Publisher
- Springer International Publishing
- Authors
- Ata Mahjoubfar, Claire Lifan Chen, Bahram Jalali
- Format
- Paperback
- Published
- May 8, 2018
- ISBN-13
- 9783319846545
- Pages
- 134
- Printing
- Printed on demand
Artificial Intelligence in Label-free Microscopy for groups: pricing
Volume pricing applies automatically in your cart. No codes, no account needed.
| Copies | Price per copy | You save |
|---|---|---|
| 25 – 49 | $114.39 | 12% off list |
| 50 – 99 | $113.09 | 13% off list |
| 100+ | $111.79 | 14% off list |
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