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portada Artificial Intelligence in Label-Free Microscopy: Biological Cell Classification by Time Stretch
Type
Physical Book
Publisher
Language
English
Pages
134
Format
Paperback
Dimensions
23.4x15.6x0.9 cm
Weight
0.24 kg.
ISBN13
9783319846545

Artificial Intelligence in Label-Free Microscopy: Biological Cell Classification by Time Stretch

Bahram Jalali (Author) · Ata Mahjoubfar (Author) · Claire Lifan Chen (Author) · Springer · Paperback

Artificial Intelligence in Label-Free Microscopy: Biological Cell Classification by Time Stretch - Mahjoubfar, Ata ; Chen, Claire Lifan ; Jalali, Bahram

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Synopsis "Artificial Intelligence in Label-Free Microscopy: Biological Cell Classification by Time Stretch"

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.

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