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商品詳細
Artificial Intelligence in Label-free Microscopy: Biological Cell Classification by Time Stretch. Softcover reprint of the original 1st ed. 2017
・ISBN 978-3-319-84654-5 paper EUR 119.99
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| 著者・編者 | Mahjoubfar, Ata / Chen, Claire Lifan / Jalali, Bahram, |
|---|---|
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2018 |
| ページ数 | 134 pp. |
| 言語 | ENG |
| ニュース番号 | <A03-40721> |
解説
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.