標(biāo)題: Titlebook: Artificial Intelligence in Label-free Microscopy; Biological Cell Clas Ata Mahjoubfar,Claire Lifan Chen,Bahram Jalali Book 2017 Springer In [打印本頁] 作者: 母牛膽小鬼 時(shí)間: 2025-3-21 16:48
書目名稱Artificial Intelligence in Label-free Microscopy影響因子(影響力)
書目名稱Artificial Intelligence in Label-free Microscopy影響因子(影響力)學(xué)科排名
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書目名稱Artificial Intelligence in Label-free Microscopy網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Artificial Intelligence in Label-free Microscopy被引頻次
書目名稱Artificial Intelligence in Label-free Microscopy被引頻次學(xué)科排名
書目名稱Artificial Intelligence in Label-free Microscopy年度引用
書目名稱Artificial Intelligence in Label-free Microscopy年度引用學(xué)科排名
書目名稱Artificial Intelligence in Label-free Microscopy讀者反饋
書目名稱Artificial Intelligence in Label-free Microscopy讀者反饋學(xué)科排名
作者: EWE 時(shí)間: 2025-3-21 20:47
Book 2017line 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..作者: 沐浴 時(shí)間: 2025-3-22 03:05 作者: 鑒賞家 時(shí)間: 2025-3-22 07:57
hensive illustration of time stretch technology;.Enables mul.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 opti作者: COLON 時(shí)間: 2025-3-22 12:30 作者: DENT 時(shí)間: 2025-3-22 16:38 作者: Corral 時(shí)間: 2025-3-22 17:29 作者: 娘娘腔 時(shí)間: 2025-3-23 00:48 作者: STAT 時(shí)間: 2025-3-23 02:03 作者: insurgent 時(shí)間: 2025-3-23 06:20 作者: Spangle 時(shí)間: 2025-3-23 12:58 作者: Tincture 時(shí)間: 2025-3-23 16:34 作者: 從容 時(shí)間: 2025-3-23 21:58 作者: neologism 時(shí)間: 2025-3-24 01:54 作者: grenade 時(shí)間: 2025-3-24 05:46 作者: CREEK 時(shí)間: 2025-3-24 08:09
Optical Data Compression in Time Stretch Imaging rare cancer cells in blood with record throughput and specificity. An unintended consequence of high-throughput image acquisition is the massive amount of digital data generated by the instrument. Here we report the first experimental demonstration of real-time optical image compression applied to 作者: 極小 時(shí)間: 2025-3-24 13:46 作者: 禁止 時(shí)間: 2025-3-24 18:28
Prinzip des monochromen Fernsehens, and rely on beam scanning, significantly limiting their utility and precision. Here we introduce a laser vibrometer that performs high-speed multi-dimensional imaging-based vibration and velocity measurements with nanometer-scale axial resolution without the need for beam scanning. As a proof-of-co作者: 咒語 時(shí)間: 2025-3-24 21:54
https://doi.org/10.1007/978-3-322-91224-4al laser scanners (e.g., galvanometric mirrors and acousto-optic deflectors) falls short for many applications, resulting in motion blur and failure to capture fast transient information. Here, we present a novel type of laser scanner that offers roughly three orders of magnitude higher scan rates t作者: 半球 時(shí)間: 2025-3-25 02:54
https://doi.org/10.1007/978-3-0348-5260-9tandard flow cytometers perform cell type classification both by estimating size and granularity of cells using forward- and side-scattered light signals and through the collection of emission spectra of fluorescently labeled cells. However, cell surface labeling as a means of marking cells is often作者: 就職 時(shí)間: 2025-3-25 07:01
G. Leimenstoll,M. Schommer,W. Niedermayerents on cellular viability and cell signaling. However, currently available label-free cell assays mostly rely only on a single feature and lack sufficient differentiation. Also, the sample size analyzed by these assays is limited due to their low throughput. Here, we integrate feature extraction an作者: Abjure 時(shí)間: 2025-3-25 08:38
K. Haag,U. Blum,S. Baumann,P. Griesta acquisition scheme that enables interruptionless storage of Coherent-STEAM cell images. Our proof of principle demonstration is capable of saving 10.8?TB of cell images in an hour, i.e., pictures of every single cell in 2.7?mL of a sample.作者: floodgate 時(shí)間: 2025-3-25 15:20
K. Haag,U. Blum,S. Baumann,P. Griestures of individual cells. In this chapter, we use these biophysical measurements to form a hyperdimensional feature space in which supervised learning is performed for cell classification. We show that TS-QPI not only overcomes the throughput issue in cellular imaging, but also improves label-free 作者: 叫喊 時(shí)間: 2025-3-25 19:15
https://doi.org/10.1007/978-3-642-78697-6 rare cancer cells in blood with record throughput and specificity. An unintended consequence of high-throughput image acquisition is the massive amount of digital data generated by the instrument. Here we report the first experimental demonstration of real-time optical image compression applied to 作者: Inflammation 時(shí)間: 2025-3-25 23:46
https://doi.org/10.1007/978-3-642-78697-6ruments ranging from analog-to-digital converters to cameras and single-shot rare-phenomena capture equipment with record performance have been empowered by it. Its warped stretch variant, realized with nonlinear group delay dispersion, offers variable-rate spectral domain sampling, as well as the a作者: Thyroid-Gland 時(shí)間: 2025-3-26 00:18 作者: 創(chuàng)作 時(shí)間: 2025-3-26 05:14
Big Data Acquisition and Processing in Real-Timeta acquisition scheme that enables interruptionless storage of Coherent-STEAM cell images. Our proof of principle demonstration is capable of saving 10.8?TB of cell images in an hour, i.e., pictures of every single cell in 2.7?mL of a sample.作者: crumble 時(shí)間: 2025-3-26 09:51
Ata Mahjoubfar,Claire Lifan Chen,Bahram JalaliDemonstrates 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 mul作者: asthma 時(shí)間: 2025-3-26 13:58 作者: affluent 時(shí)間: 2025-3-26 18:34
https://doi.org/10.1007/978-3-319-51448-2silicon photonics; real-time instruments for biomedical applications; High-throughput multivariate sen作者: bile648 時(shí)間: 2025-3-26 22:16 作者: 即席演說 時(shí)間: 2025-3-27 01:48
,Der PAL-Empf?nger, Blockschaltbild,This chapter provides an overview of the book and briefly describes the objectives of each section.作者: 遭受 時(shí)間: 2025-3-27 06:04
Prinzip des monochromen Fernsehens,Time stretch is the leading technology in ultrafast big-data acquisition. Here we introduce time stretch technique and highlight its applications in the context of imaging.作者: 把手 時(shí)間: 2025-3-27 11:32 作者: 名字的誤用 時(shí)間: 2025-3-27 13:38 作者: watertight, 時(shí)間: 2025-3-27 20:22
Time StretchTime stretch is the leading technology in ultrafast big-data acquisition. Here we introduce time stretch technique and highlight its applications in the context of imaging.作者: PLUMP 時(shí)間: 2025-3-27 22:47
Concluding Remarks and Future WorkIn this chapter, we conclude the book and suggest future trends in time stretch imaging.作者: 認(rèn)為 時(shí)間: 2025-3-28 02:36
assification, 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..978-3-319-84654-5978-3-319-51448-2作者: 極肥胖 時(shí)間: 2025-3-28 09:36 作者: FUSC 時(shí)間: 2025-3-28 14:16 作者: 車床 時(shí)間: 2025-3-28 15:42
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.作者: hypotension 時(shí)間: 2025-3-28 21:07
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.作者: 朦朧 時(shí)間: 2025-3-29 00:16
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作者: 痛得哭了 時(shí)間: 2025-3-29 05:43
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作者: 猛烈責(zé)罵 時(shí)間: 2025-3-29 07:24
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.作者: nutrients 時(shí)間: 2025-3-29 13:21
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.作者: calamity 時(shí)間: 2025-3-29 17:13
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.
