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

Von:

Mahjoubfar, Ata [aut]

Mitwirkende(r):

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: SpringerLink Bücher | Springer eBook Collection EngineeringVerlag: Cham : Springer, 2017Beschreibung: Online-Ressource (XXXIII, 134 p. 52 illus. in color, online resource)ISBN:

9783319514482

Schlagwörter:

Andere physische Formen: 9783319514475 | Druckausg.: 978-3-319-51447-5 | Printed edition: 9783319514475 LOC-Klassifikation:

R856-857

DOI: DOI: 10.1007/978-3-319-51448-2Online-Ressourcen:

Zusammenfassung: 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. • Demonstrates how machine learning is used in high-speed microscopy imaging to facilitate medical diagnosis; • Provides a systematic and comprehensive illustration of time stretch technology; • Enables multidisciplinary application, including industrial, biomedical, and artificial intelligenceZusammenfassung: Introduction -- Background -- Nanometer-resolved imaging vibrometer -- Three-dimensional ultrafast laser scanner -- Label-free High-throughput Phenotypic Screening -- Time Stretch Quantitative Phase Imaging -- Big data acquisition and processing in real-time -- Deep Learning and Classification -- Optical Data Compression in Time Stretch Imaging -- Design of Warped Stretch Transform -- Concluding Remarks and Future Work -- ReferencesPPN: PPN: 1658355032Package identifier: Produktsigel: ZDB-2-ENG

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