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Artificial Intelligence in Label-free Microscopy

Artificial Intelligence in Label-free Microscopy

Ata Mahjoubfar / Bahram Jalali / Claire Lifan Chen

160,45 €
IVA incluido
Disponible
Editorial:
Springer Nature B.V.
Año de edición:
2018
Materia
Aplicaciones gráficas y multimedia
ISBN:
9783319846545
160,45 €
IVA incluido
Disponible

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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.

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  • Artificial Intelligence in Label-free Microscopy
    Ata Mahjoubfar / Bahram Jalali / Claire Lifan Chen
    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 devel...