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Artificial Intelligence in Label-free Microscopy - Biological Cell Classification by Time Stretch (Paperback, Softcover reprint of the original 1st ed. 2017) Loot Price: R3,538
Discovery Miles 35 380
Artificial Intelligence in Label-free Microscopy - Biological Cell Classification by Time Stretch (Paperback, Softcover reprint...

Artificial Intelligence in Label-free Microscopy - Biological Cell Classification by Time Stretch (Paperback, Softcover reprint of the original 1st ed. 2017)

Ata Mahjoubfar, Claire Lifan Chen, Bahram Jalali

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Loot Price R3,538 Discovery Miles 35 380 | Repayment Terms: R332 pm x 12*

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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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Release date: May 2018
First published: 2017
Authors: Ata Mahjoubfar • Claire Lifan Chen • Bahram Jalali
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 134
Edition: Softcover reprint of the original 1st ed. 2017
ISBN-13: 978-3-319-84654-5
Categories: Books > Science & Mathematics > Biology, life sciences > Molecular biology
Books > Medicine > Nursing & ancillary services > Biomedical engineering > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > General
Books > Computing & IT > Applications of computing > Image processing > General
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LSN: 3-319-84654-X
Barcode: 9783319846545

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