Artificial Intelligence In Label Free Microscopy

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Artificial Intelligence in Label-free Microscopy

Author : Ata Mahjoubfar,Claire Lifan Chen,Bahram Jalali
Publisher : Springer
Page : 134 pages
File Size : 52,9 Mb
Release : 2017-04-19
Category : Technology & Engineering
ISBN : 9783319514482

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Artificial Intelligence in Label-free Microscopy by Ata Mahjoubfar,Claire Lifan Chen,Bahram Jalali Pdf

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

Author : Vasily Astratov
Publisher : Springer Nature
Page : 487 pages
File Size : 53,7 Mb
Release : 2019-08-31
Category : Science
ISBN : 9783030217228

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Label-Free Super-Resolution Microscopy by Vasily Astratov Pdf

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

Author : Stanley Cohen
Publisher : Elsevier Health Sciences
Page : 290 pages
File Size : 43,6 Mb
Release : 2020-06-02
Category : Medical
ISBN : 9780323675376

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Artificial Intelligence and Deep Learning in Pathology by Stanley Cohen Pdf

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

Author : Paulo Ribeiro,David L. Andrews,Maria Raposo
Publisher : Springer
Page : 295 pages
File Size : 40,6 Mb
Release : 2019-05-03
Category : Science
ISBN : 9783030126926

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Optics, Photonics and Laser Technology 2017 by Paulo Ribeiro,David L. Andrews,Maria Raposo Pdf

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

Author : Long Cheng,Andrew Chi Sing Leung,Seiichi Ozawa
Publisher : Springer
Page : 716 pages
File Size : 43,9 Mb
Release : 2018-12-03
Category : Computers
ISBN : 9783030042127

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Neural Information Processing by Long Cheng,Andrew Chi Sing Leung,Seiichi Ozawa Pdf

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

Author : Inkyu Moon
Publisher : John Wiley & Sons
Page : 341 pages
File Size : 42,9 Mb
Release : 2022-12-20
Category : Technology & Engineering
ISBN : 9780470647509

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Artificial Intelligence in Digital Holographic Imaging by Inkyu Moon Pdf

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

Author : Deepak Gupta,Utku Kose,Bao Le Nguyen,Siddhartha Bhattacharyya
Publisher : Walter de Gruyter GmbH & Co KG
Page : 326 pages
File Size : 49,7 Mb
Release : 2021-02-08
Category : Computers
ISBN : 9783110668322

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Artificial Intelligence for Data-Driven Medical Diagnosis by Deepak Gupta,Utku Kose,Bao Le Nguyen,Siddhartha Bhattacharyya Pdf

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

Author : Jianfeng Pei,Alex Zhavoronkov
Publisher : Frontiers Media SA
Page : 229 pages
File Size : 47,6 Mb
Release : 2021-11-16
Category : Science
ISBN : 9782889716494

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Artificial intelligence for Drug Discovery and Development by Jianfeng Pei,Alex Zhavoronkov Pdf

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

Author : Anonim
Publisher : Elsevier
Page : 224 pages
File Size : 40,6 Mb
Release : 2023-07-29
Category : Science
ISBN : 9780443158155

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Imaging in Virus Research by Anonim Pdf

Approx.250 pages Approx.250 pages

Deep Medicine

Author : Eric Topol
Publisher : Basic Books
Page : 373 pages
File Size : 48,9 Mb
Release : 2019-03-12
Category : Health & Fitness
ISBN : 9781541644649

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Deep Medicine by Eric Topol Pdf

A Science Friday pick for book of the year, 2019 One of America's top doctors reveals how AI will empower physicians and revolutionize patient care Medicine has become inhuman, to disastrous effect. The doctor-patient relationship--the heart of medicine--is broken: doctors are too distracted and overwhelmed to truly connect with their patients, and medical errors and misdiagnoses abound. In Deep Medicine, leading physician Eric Topol reveals how artificial intelligence can help. AI has the potential to transform everything doctors do, from notetaking and medical scans to diagnosis and treatment, greatly cutting down the cost of medicine and reducing human mortality. By freeing physicians from the tasks that interfere with human connection, AI will create space for the real healing that takes place between a doctor who can listen and a patient who needs to be heard. Innovative, provocative, and hopeful, Deep Medicine shows us how the awesome power of AI can make medicine better, for all the humans involved.

Human Interaction, Emerging Technologies and Future Systems V

Author : Tareq Ahram,Redha Taiar
Publisher : Springer Nature
Page : 1316 pages
File Size : 48,5 Mb
Release : 2021-09-09
Category : Technology & Engineering
ISBN : 9783030855406

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Human Interaction, Emerging Technologies and Future Systems V by Tareq Ahram,Redha Taiar Pdf

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.

Biophotonics and Biosensing

Author : Andrea Armani,Tatevik Chalyan,David Sampson
Publisher : Elsevier
Page : 520 pages
File Size : 54,6 Mb
Release : 2024-06-03
Category : Technology & Engineering
ISBN : 9780443188411

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Biophotonics and Biosensing by Andrea Armani,Tatevik Chalyan,David Sampson Pdf

Biophotonics and Biosensing: From Fundamental Research to Clinical Trials Through Advances of Signal and Image Processing brings together the knowledge of the basic principles of the field of light-biological tissue interaction, detection methods, data processing techniques, and research, diagnostic and clinical applications. It is suitable for new entrants, while also highlighting the latest developments for experts in the field. This volume includes perspectives by leading experts from the biophotonics, biomedical engineering, and data science communities. The reader will receive a basic grounding in the key theoretical principles and practical components of biophotonics and biosensing. Working principles of devices used in spectroscopy, microscopy, and optical sensing are presented along with their application domains. The reader will learn about existing microscopy-based techniques used in biomedical applications for diagnosis and get to know different signal processing algorithms as used in biophotonics. Finally, through concrete examples, including sample preparation and measurement approaches, see how the field has developed thanks to the integration of biophotonics and optical biosensing with signal processing. Introduces key principles of light-biological tissue interactions and biosensing Discusses how the most promising optical diagnostic methods can exploit contemporary signal and image processing algorithms and data analytics Includes examples of clinical studies with detailed descriptions of their implementation, along with practical guidance

Artificial Intelligence in Medicine

Author : Lei Xing,Maryellen L. Giger,James K. Min
Publisher : Academic Press
Page : 570 pages
File Size : 50,9 Mb
Release : 2020-09-03
Category : Medical
ISBN : 9780128212585

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Artificial Intelligence in Medicine by Lei Xing,Maryellen L. Giger,James K. Min Pdf

Artificial Intelligence Medicine: Technical Basis and Clinical Applications presents a comprehensive overview of the field, ranging from its history and technical foundations, to specific clinical applications and finally to prospects. Artificial Intelligence (AI) is expanding across all domains at a breakneck speed. Medicine, with the availability of large multidimensional datasets, lends itself to strong potential advancement with the appropriate harnessing of AI. The integration of AI can occur throughout the continuum of medicine: from basic laboratory discovery to clinical application and healthcare delivery. Integrating AI within medicine has been met with both excitement and scepticism. By understanding how AI works, and developing an appreciation for both limitations and strengths, clinicians can harness its computational power to streamline workflow and improve patient care. It also provides the opportunity to improve upon research methodologies beyond what is currently available using traditional statistical approaches. On the other hand, computers scientists and data analysts can provide solutions, but often lack easy access to clinical insight that may help focus their efforts. This book provides vital background knowledge to help bring these two groups together, and to engage in more streamlined dialogue to yield productive collaborative solutions in the field of medicine. Provides history and overview of artificial intelligence, as narrated by pioneers in the field Discusses broad and deep background and updates on recent advances in both medicine and artificial intelligence that enabled the application of artificial intelligence Addresses the ever-expanding application of this novel technology and discusses some of the unique challenges associated with such an approach

Artificial Intelligence for Medicine

Author : Yoshiki Oshida
Publisher : Walter de Gruyter GmbH & Co KG
Page : 520 pages
File Size : 54,6 Mb
Release : 2021-10-11
Category : Technology & Engineering
ISBN : 9783110717853

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Artificial Intelligence for Medicine by Yoshiki Oshida Pdf

The use of artificial intelligence (AI) in various fields is of major importance to improve the use of resourses and time. This book provides an analysis of how AI is used in both the medical field and beyond. Topics that will be covered are bioinformatics, biostatistics, dentistry, diagnosis and prognosis, smart materials, and drug discovery as they intersect with AI. Also, an outlook of the future of an AI-assisted society will be explored.

Multimodal and Nanoscale Optical Microscopy

Author : P. Bianchini,A. Diaspro,C.J.R. Sheppard
Publisher : IOS Press
Page : 176 pages
File Size : 54,7 Mb
Release : 2023-09-11
Category : Science
ISBN : 9781643684154

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Multimodal and Nanoscale Optical Microscopy by P. Bianchini,A. Diaspro,C.J.R. Sheppard Pdf

Optical microscopy is developing into nanoscopy and multimodal microscopy the better to decipher the functioning mechanisms in living systems, and investigating biological specimens at molecular level using fluorescence as a mechanism of contrast. Results have demonstrated the potential to provide information at the Angstrom level. Other optical methods now offer more in terms of spatial and temporal resolution, making it possible to study the delicate and complex relationship between structure and function in cells. Modern optical microscopes also use the decisive advantage provided by artificial intelligence algorithms. All in all, a rapidly changing field with an increasing number of questions to be answered. This book contains the lectures presented as Course 210 of the prestigious International School of Physics Enrico Fermi, Multimodal and Nanoscale Optical Microscopy, held in Varenna, Italy from 11 to 16 July 2021. Topics covered include fluorescence; linear and nonlinear microscopy; label-free with Mueller matrix and Brillouin microscopy; F-methods such as FRAP, FLIM, FRET and FCS; super-resolution, phototoxicity and photodamage; optical and magnetic trapping; image formation; and bioimage analysis, among others. The book also includes selected contributions of a number of young researchers. Packed with novel ideas, new instruments, challenging theoretical approaches and amazing applications, the book will be of interest to all those working in the field of multimodal and nanoscale optical microscopy.