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Mahjoubfar, Ata; Chen, Claire Lifan; Jalali, Bahram - Artificial Intelligence in Label-Free Microscopy - 9783319514475 - V9783319514475
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Artificial Intelligence in Label-Free Microscopy

€ 149.95
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Description for Artificial Intelligence in Label-Free Microscopy Hardback. Num Pages: 134 pages, 52 colour illustrations, 75 colour tables, biography. BIC Classification: PSD; TJF; UYQV; UYT. Category: (P) Professional & Vocational. Dimension: 235 x 155. .

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.

Product Details

Format
Hardback
Publication date
2017
Publisher
Springer International Publishing AG Switzerland
Number of pages
134
Condition
New
Number of Pages
134
Place of Publication
Cham, Switzerland
ISBN
9783319514475
SKU
V9783319514475
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About Mahjoubfar, Ata; Chen, Claire Lifan; Jalali, Bahram
Ata Mahjoubfar is a postdoctoral scholar in the Department of Electrical Engineering and California NanoSystems Institute at University of California Los Angeles. He received his Bachelor's and Master's degrees from University of Tehran, Iran in 2006 and 2008, respectively, and his Ph.D. degree from University of California, Los Angeles (UCLA) in 2014. He was the cofounder of OSA/SPIE student chapter ... Read more

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