03986nam 22006135 450 991025432130332120200706133817.03-319-51448-210.1007/978-3-319-51448-2(CKB)3710000001177629(DE-He213)978-3-319-51448-2(MiAaPQ)EBC4844289(PPN)200514407(EXLCZ)99371000000117762920170420d2017 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierArtificial Intelligence in Label-free Microscopy Biological Cell Classification by Time Stretch /by Ata Mahjoubfar, Claire Lifan Chen, Bahram Jalali1st ed. 2017.Cham :Springer International Publishing :Imprint: Springer,2017.1 online resource (XXXIII, 134 p. 52 illus. in color.) 3-319-51447-4 Includes bibliographical references and index.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.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.Biomedical engineeringElectronicsMicroelectronicsOptical data processingBioinformaticsBiomedical Engineering and Bioengineeringhttps://scigraph.springernature.com/ontologies/product-market-codes/T2700XElectronics and Microelectronics, Instrumentationhttps://scigraph.springernature.com/ontologies/product-market-codes/T24027Image Processing and Computer Visionhttps://scigraph.springernature.com/ontologies/product-market-codes/I22021Bioinformaticshttps://scigraph.springernature.com/ontologies/product-market-codes/L15001Biomedical engineering.Electronics.Microelectronics.Optical data processing.Bioinformatics.Biomedical Engineering and Bioengineering.Electronics and Microelectronics, Instrumentation.Image Processing and Computer Vision.Bioinformatics.610.28Mahjoubfar Ataauthttp://id.loc.gov/vocabulary/relators/aut933279Chen Claire Lifanauthttp://id.loc.gov/vocabulary/relators/autJalali Bahramauthttp://id.loc.gov/vocabulary/relators/autBOOK9910254321303321Artificial Intelligence in Label-free Microscopy2100648UNINA