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Titlebook: Artificial Intelligence in Label-free Microscopy; Biological Cell Clas Ata Mahjoubfar,Claire Lifan Chen,Bahram Jalali Book 2017 Springer In

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楼主: 母牛胆小鬼
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K. Haag,U. Blum,S. Baumann,P. Griesas well as lipid accumulating algal strains for biofuel production. This system opens up a new path to data-driven phenotypic diagnosis and better understanding of the heterogeneous gene expressions in cells.
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https://doi.org/10.1007/978-3-642-78697-6h nonuniform spectral resolution, having direct utility in improvement of data acquisition rate, real-time data compression, and enhancement of ultrafast data capture accuracy. We also discuss the application of warped stretch transform in spectrotemporal analysis of continuous-time signals.
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Three-Dimensional Ultrafast Laser Scannertration, we perform 1D line scans at a record high scan rate of 91 MHz and 2D raster scans and 3D volumetric scans at an unprecedented scan rate of 105 kHz. The method holds promise for a broad range of scientific, industrial, and biomedical applications. To show the utility of our method, we demons
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Label-Free High-Throughput Phenotypic Screening. Cell protein concentration adds a parameter to cell classification, which improves the specificity and sensitivity of flow cytometers without the requirement of cell labeling. This system uses coherent dispersive Fourier transform to perform phase imaging at flow speeds as high as a few meters per
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Deep Learning and Classificationas well as lipid accumulating algal strains for biofuel production. This system opens up a new path to data-driven phenotypic diagnosis and better understanding of the heterogeneous gene expressions in cells.
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Design of Warped Stretch Transformh nonuniform spectral resolution, having direct utility in improvement of data acquisition rate, real-time data compression, and enhancement of ultrafast data capture accuracy. We also discuss the application of warped stretch transform in spectrotemporal analysis of continuous-time signals.
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Advanced Decisions in Technical and Medical Applications: An Introduction,he image and videos processing, transmission, and image analysis are included in Part I, while a wide spectrum of algorithms for medical image processing are included in Part II of this book. Each chapter involves detail practical implementations and explanations.
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