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

• Autore: Mahjoubfar Ata
• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
• Edizione: 1st ed. 2017.
• Descrizione fisica: 1 online resource (XXXIII, 134 p. 52 illus. in color.)
• Disciplina: 610.28
• Soggetto topico: Biomedical engineering; Electronics; Microelectronics; Optical data processing; Bioinformatics; Biomedical Engineering and Bioengineering; Electronics and Microelectronics, Instrumentation; Image Processing and Computer Vision
• Persona (resp. second.): ChenClaire Lifan; JalaliBahram
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: 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 -- References.
• Sommario/riassunto: 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 intelligence.
• Titolo autorizzato: Artificial Intelligence in Label-free Microscopy
• ISBN: 3-319-51448-2
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910254321303321
• Lo trovi qui: Univ. Federico II