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標題: Titlebook: Computational Optical Phase Imaging; Cheng Liu,Shouyu Wang,Suhas P. Veetil Book 2022 The Editor(s) (if applicable) and The Author(s), unde [打印本頁]

作者: GOLF    時間: 2025-3-21 17:48
書目名稱Computational Optical Phase Imaging影響因子(影響力)




書目名稱Computational Optical Phase Imaging影響因子(影響力)學科排名




書目名稱Computational Optical Phase Imaging網(wǎng)絡公開度




書目名稱Computational Optical Phase Imaging網(wǎng)絡公開度學科排名




書目名稱Computational Optical Phase Imaging被引頻次




書目名稱Computational Optical Phase Imaging被引頻次學科排名




書目名稱Computational Optical Phase Imaging年度引用




書目名稱Computational Optical Phase Imaging年度引用學科排名




書目名稱Computational Optical Phase Imaging讀者反饋




書目名稱Computational Optical Phase Imaging讀者反饋學科排名





作者: Alpha-Cells    時間: 2025-3-22 00:16

作者: Crepitus    時間: 2025-3-22 03:37

作者: irritation    時間: 2025-3-22 07:35
Kreative Materialmedien in der SupervisionIn recent years, phase imaging has experienced tremendous success and has opened up new exciting frontiers. As an example, deep learning algorithms are capable of learning patterns and rules from a series of data sets in order to perform specific tasks.
作者: 開始發(fā)作    時間: 2025-3-22 11:54

作者: TATE    時間: 2025-3-22 13:29
Recent Trends in Computational Optical Phase Imaging,In recent years, phase imaging has experienced tremendous success and has opened up new exciting frontiers. As an example, deep learning algorithms are capable of learning patterns and rules from a series of data sets in order to perform specific tasks.
作者: TATE    時間: 2025-3-22 19:01
Interference-Based Quantitative Optical Phase Imaging,st microscopy has helped scientists uncover the structure and function of cells and subcellular organelles by generating image contrast from transparent samples with insufficient intensity variations to generate a brightness contrast image.
作者: 不規(guī)則    時間: 2025-3-22 22:26

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作者: Assemble    時間: 2025-3-24 05:06
https://doi.org/10.1007/978-0-230-62943-1hms to optimize the entire imaging process, from acquisition to reconstruction. As a computation-intensive inverse problem, the reconstruction problem eliminates bulky and expensive optical components usually used in traditional optical imaging. Computing phase imaging has several advantages and pro
作者: AVERT    時間: 2025-3-24 10:23
Book 2022 and gain a thorough understanding of the current state-of-the-art.? The book focuses on modern applications of computational optical phase imaging in engineering measurements and biomedical imaging.?Additionally, it discusses the future of computational optical phase imaging, especially in terms of
作者: 法律    時間: 2025-3-24 11:19

作者: 瑪瑙    時間: 2025-3-24 16:49
2363-5096 computational optical phase imaging, especially in terms of system miniaturization and deep learning-based phase retrieval..978-981-19-1643-4978-981-19-1641-0Series ISSN 2363-5096 Series E-ISSN 2363-510X
作者: Commentary    時間: 2025-3-24 22:08

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作者: 收集    時間: 2025-3-25 19:34
https://doi.org/10.1007/978-0-230-62943-1f intensity equation (TIE), etc., can provide a powerful alternative solution to quantitative phase imaging problems without using complex optical alignment and highly coherent illumination.?This chapter outlines the principle of such non-interferometric quantitative phase imaging techniques systema
作者: 不能約    時間: 2025-3-25 21:13
Non-interferometric Quantitative Optical Phase Imaging,f intensity equation (TIE), etc., can provide a powerful alternative solution to quantitative phase imaging problems without using complex optical alignment and highly coherent illumination.?This chapter outlines the principle of such non-interferometric quantitative phase imaging techniques systema
作者: yohimbine    時間: 2025-3-26 02:40

作者: 流行    時間: 2025-3-26 04:38

作者: 高原    時間: 2025-3-26 08:43
Non-interferometric Quantitative Optical Phase Imaging,aging. However, these methods rely on the high degree of coherence of light beams to achieve interference, and their accuracy heavily depends on the quality of optical elements adopted and the stability of working environment. Thus, it is difficult to apply interferometric methods for imaging with s
作者: facilitate    時間: 2025-3-26 14:17
Typical Applications of Computational Phase Imaging,hms to optimize the entire imaging process, from acquisition to reconstruction. As a computation-intensive inverse problem, the reconstruction problem eliminates bulky and expensive optical components usually used in traditional optical imaging. Computing phase imaging has several advantages and pro
作者: 擦掉    時間: 2025-3-26 17:12

作者: Ataxia    時間: 2025-3-26 22:49

作者: 品嘗你的人    時間: 2025-3-27 01:41
Mary Renck Jalongo,Olivia N. Saracho proteins. But not all stress-damaged proteins can be rescued and it is now clear that stressed cells also activate several components of a proteolytic degradation system that normally functions to “turn over” cytoplasmic and nuclear proteins. This enzymatic pathway is found in all eukaryotic cells
作者: Itinerant    時間: 2025-3-27 09:07
Textbook 2008ie stochastische Simulation einen Ausweg bieten, indem sie der mathematischen Modellierung sozusagen eine experimentelle Variante zur Seite stellt. Einzige Voraussetzung dafür ist, dass der nicht-zuf?llige Teil des Modells, also etwa das Prozessgesc- hen bei feststehenden zuf?lligen Ein?üssen, berec
作者: Tortuous    時間: 2025-3-27 13:04
Terms, Models, Resources, and Evaluation der beiden Zahnflanken ist momentan eine Drehung um die Berührungsgerade der beiden Zylinder als Momentanachse, mit der Winkelgeschwindigkeit ..±... Das + Zeichen gilt für Au?en-, das — Zeichen für Innenverzahnung (Abb. 6).
作者: Peak-Bone-Mass    時間: 2025-3-27 15:18

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