Artificial Intelligence In Label Free Microscopy


Artificial Intelligence In Label Free Microscopy
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Artificial Intelligence In Label Free Microscopy


Artificial Intelligence In Label Free Microscopy
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Author : Ata Mahjoubfar
language : en
Publisher: Springer
Release Date : 2017-04-19

Artificial Intelligence In Label Free Microscopy written by Ata Mahjoubfar and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-19 with Technology & Engineering categories.


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.



Label Free Super Resolution Microscopy


Label Free Super Resolution Microscopy
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Author : Vasily Astratov
language : en
Publisher: Springer Nature
Release Date : 2019-08-31

Label Free Super Resolution Microscopy written by Vasily Astratov and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-31 with Science categories.


This book presents the advances in super-resolution microscopy in physics and biomedical optics for nanoscale imaging. In the last decade, super-resolved fluorescence imaging has opened new horizons in improving the resolution of optical microscopes far beyond the classical diffraction limit, leading to the Nobel Prize in Chemistry in 2014. This book represents the first comprehensive review of a different type of super-resolved microscopy, which does not rely on using fluorescent markers. Such label-free super-resolution microscopy enables potentially even broader applications in life sciences and nanoscale imaging, but is much more challenging and it is based on different physical concepts and approaches. A unique feature of this book is that it combines insights into mechanisms of label-free super-resolution with a vast range of applications from fast imaging of living cells to inorganic nanostructures. This book can be used by researchers in biological and medical physics. Due to its logically organizational structure, it can be also used as a teaching tool in graduate and upper-division undergraduate-level courses devoted to super-resolved microscopy, nanoscale imaging, microscopy instrumentation, and biomedical imaging.



Artificial Intelligence And Deep Learning In Pathology


Artificial Intelligence And Deep Learning In Pathology
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Author : Stanley Cohen
language : en
Publisher: Elsevier Health Sciences
Release Date : 2020-06-02

Artificial Intelligence And Deep Learning In Pathology written by Stanley Cohen and has been published by Elsevier Health Sciences this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-02 with Medical categories.


Recent advances in computational algorithms, along with the advent of whole slide imaging as a platform for embedding artificial intelligence (AI), are transforming pattern recognition and image interpretation for diagnosis and prognosis. Yet most pathologists have just a passing knowledge of data mining, machine learning, and AI, and little exposure to the vast potential of these powerful new tools for medicine in general and pathology in particular. In Artificial Intelligence and Deep Learning in Pathology, Dr. Stanley Cohen covers the nuts and bolts of all aspects of machine learning, up to and including AI, bringing familiarity and understanding to pathologists at all levels of experience. Focuses heavily on applications in medicine, especially pathology, making unfamiliar material accessible and avoiding complex mathematics whenever possible. Covers digital pathology as a platform for primary diagnosis and augmentation via deep learning, whole slide imaging for 2D and 3D analysis, and general principles of image analysis and deep learning. Discusses and explains recent accomplishments such as algorithms used to diagnose skin cancer from photographs, AI-based platforms developed to identify lesions of the retina, using computer vision to interpret electrocardiograms, identifying mitoses in cancer using learning algorithms vs. signal processing algorithms, and many more.



Optics Photonics And Laser Technology 2017


Optics Photonics And Laser Technology 2017
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Author : Paulo Ribeiro
language : en
Publisher: Springer
Release Date : 2019-05-03

Optics Photonics And Laser Technology 2017 written by Paulo Ribeiro and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-03 with Science categories.


This book discusses both the theoretical and practical aspects of optics, photonics and lasers, presenting new methods, technologies, advanced prototypes, systems, tools and techniques as well as a general survey indicating future trends and directions. The main fields addressed include nonlinear optical phenomena, photonics for energy, high-field phenomena, photonic and optoelectronic sensors and devices, optical communications, biomedical optics and photonics. It also covers a large spectrum of materials, ranging from semiconductor-based optical materials to optical glasses, organic materials, photorefractive materials and nanophotonic materials, as well as applications such as metrology, optometry, adaptive optics, all optical instrumentation, optical communications, quantum information, lighting technologies, energy harvesting and optically based biomedical diagnosis and therapeutics.



Neural Information Processing


Neural Information Processing
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Author : Long Cheng
language : en
Publisher: Springer
Release Date : 2018-12-03

Neural Information Processing written by Long Cheng and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-03 with Computers categories.


The seven-volume set of LNCS 11301-11307, constitutes the proceedings of the 25th International Conference on Neural Information Processing, ICONIP 2018, held in Siem Reap, Cambodia, in December 2018. The 401 full papers presented were carefully reviewed and selected from 575 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The 4th volume, LNCS 11304, is organized in topical sections on feature selection, clustering, classification, and detection.



Artificial Intelligence In Digital Holographic Imaging


Artificial Intelligence In Digital Holographic Imaging
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Author : Inkyu Moon
language : en
Publisher: John Wiley & Sons
Release Date : 2022-12-20

Artificial Intelligence In Digital Holographic Imaging written by Inkyu Moon and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-20 with Technology & Engineering categories.


Artificial Intelligence in Digital Holographic Imaging Technical Basis and Biomedical Applications An eye-opening discussion of 3D optical sensing, imaging, analysis, and pattern recognition Artificial intelligence (AI) has made great progress in recent years. Digital holographic imaging has recently emerged as a powerful new technique well suited to explore cell structure and dynamics with a nanometric axial sensitivity and the ability to identify new cellular biomarkers. By combining digital holography with AI technology, including recent deep learning approaches, this system can achieve a record-high accuracy in non-invasive, label-free cellular phenotypic screening. It opens up a new path to data-driven diagnosis. Artificial Intelligence in Digital Holographic Imaging introduces key concepts and algorithms of AI to show how to build intelligent holographic imaging systems drawing on techniques from artificial neural networks, convolutional neural networks, and generative adversarial network. Readers will be able to gain an understanding of the basics for implementing AI in holographic imaging system designs and connecting practical biomedical questions that arise from the use of digital holography with various AI algorithms in intelligence models. What’s Inside Introductory background on digital holography Key concepts of digital holographic imaging Deep-learning techniques for holographic imaging AI techniques in holographic image analysis Holographic image-classification models Automated phenotypic analysis of live cells For readers with various backgrounds, this book provides a detailed discussion of the use of intelligent holographic imaging system in biomedical fields with great potential for biomedical application.



Artificial Intelligence For Data Driven Medical Diagnosis


Artificial Intelligence For Data Driven Medical Diagnosis
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Author : Deepak Gupta
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2021-02-08

Artificial Intelligence For Data Driven Medical Diagnosis written by Deepak Gupta and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-08 with Computers categories.


This book collects research works of data-driven medical diagnosis done via Artificial Intelligence based solutions, such as Machine Learning, Deep Learning and Intelligent Optimization. Physical devices powered with Artificial Intelligence are gaining importance in diagnosis and healthcare. Medical data from different sources can also be analyzed via Artificial Intelligence techniques for more effective results.



Artificial Intelligence For Drug Discovery And Development


Artificial Intelligence For Drug Discovery And Development
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Author : Jianfeng Pei
language : en
Publisher: Frontiers Media SA
Release Date : 2021-11-16

Artificial Intelligence For Drug Discovery And Development written by Jianfeng Pei and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-16 with Science categories.


Topic editor Alex Zhavoronkov is the founder of Insilico Medicine, a company specializing in AI research. He is also a professor at the Buck Institute for Research on Aging. All other Topic Editors declare no competing interests with regards to the Research Topic subject.



Imaging In Virus Research


Imaging In Virus Research
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Author :
language : en
Publisher: Elsevier
Release Date : 2023-07-29

Imaging In Virus Research written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-29 with Science categories.


Approx.250 pages Approx.250 pages



Human Interaction Emerging Technologies And Future Systems V


Human Interaction Emerging Technologies And Future Systems V
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Author : Tareq Ahram
language : en
Publisher: Springer Nature
Release Date : 2021-09-09

Human Interaction Emerging Technologies And Future Systems V written by Tareq Ahram and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-09 with Technology & Engineering categories.


This book reports on research and developments in human–technology interaction. A special emphasis is given to human–computer interaction and its implementation for a wide range of purposes such as health care, aerospace, telecommunication, and education, among others. The human aspects are analyzed in detail. Timely studies on human-centered design, wearable technologies, social and affective computing, augmented, virtual and mixed reality simulation, human rehabilitation, and biomechanics represent the core of the book. Emerging technology applications in business, security, and infrastructure are also critically examined, thus offering a timely, scientifically grounded, but also professionally oriented snapshot of the current state of the field. The book gathers contributions presented at the 5th International Conference on Human Interaction and Emerging Technologies (IHIET 2021, August 27–29, 2021) and the 6th International Conference on Human Interaction and Emerging Technologies: Future Systems (IHIET-FS 2021, October 28–30, 2021), held virtually from France. It offers a timely survey and a practice-oriented reference guide to researchers and professionals dealing with design, systems engineering, and management of the next-generation technology and service systems.