Artificial Intelligence in Label free Microscopy

Artificial Intelligence in Label free Microscopy
Author: Ata Mahjoubfar,Claire Lifan Chen,Bahram Jalali
Publsiher: Springer
Total Pages: 134
Release: 2017-04-19
Genre: Technology & Engineering
ISBN: 9783319514482

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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
Author: Vasily Astratov
Publsiher: Springer Nature
Total Pages: 487
Release: 2019-08-31
Genre: Science
ISBN: 9783030217228

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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
Author: Stanley Cohen
Publsiher: Elsevier Health Sciences
Total Pages: 288
Release: 2020-06-02
Genre: Medical
ISBN: 9780323675376

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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
Author: Paulo Ribeiro,David L. Andrews,Maria Raposo
Publsiher: Springer
Total Pages: 280
Release: 2019-05-03
Genre: Science
ISBN: 9783030126926

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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
Author: Long Cheng,Andrew Chi Sing Leung,Seiichi Ozawa
Publsiher: Springer
Total Pages: 699
Release: 2018-12-03
Genre: Computers
ISBN: 9783030042127

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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 for Data Driven Medical Diagnosis

Artificial Intelligence for Data Driven Medical Diagnosis
Author: Deepak Gupta,Utku Kose,Bao Le Nguyen,Siddhartha Bhattacharyya
Publsiher: Walter de Gruyter GmbH & Co KG
Total Pages: 326
Release: 2021-01-28
Genre: Computers
ISBN: 9783110668384

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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
Author: Jianfeng Pei,Alex Zhavoronkov
Publsiher: Frontiers Media SA
Total Pages: 135
Release: 2021-11-16
Genre: Science
ISBN: 9782889716494

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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.

Human Interaction Emerging Technologies and Future Systems V

Human Interaction  Emerging Technologies and Future Systems V
Author: Tareq Ahram,Redha Taiar
Publsiher: Springer Nature
Total Pages: 1316
Release: 2021-09-09
Genre: Technology & Engineering
ISBN: 9783030855406

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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.

Artificial Intelligence in Medicine

Artificial Intelligence in Medicine
Author: Lei Xing,Maryellen L. Giger,James K. Min
Publsiher: Academic Press
Total Pages: 568
Release: 2020-09-03
Genre: Business & Economics
ISBN: 9780128212585

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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

Artificial Intelligence for Medicine
Author: Yoshiki Oshida
Publsiher: Walter de Gruyter GmbH & Co KG
Total Pages: 520
Release: 2021-10-11
Genre: Technology & Engineering
ISBN: 9783110717853

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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.

Deep Medicine

Deep Medicine
Author: Eric Topol
Publsiher: Basic Books
Total Pages: 400
Release: 2019-03-12
Genre: Health & Fitness
ISBN: 9781541644649

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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.

Computational Optical Phase Imaging

Computational Optical Phase Imaging
Author: Cheng Liu
Publsiher: Springer Nature
Total Pages: 135
Release: 2022
Genre: Electronic Book
ISBN: 9789811916410

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Diatom Microscopy

Diatom Microscopy
Author: Nirmal Mazumder,Richard Gordon
Publsiher: John Wiley & Sons
Total Pages: 368
Release: 2022-12-05
Genre: Medical
ISBN: 9781119711551

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DIATOM MICROSCOPY The main goal of the book is to demonstrate the wide variety of microscopy methods being used to investigate natural and altered diatom structures. This book on Diatom Microscopy gives an introduction to the wide panoply of microscopy methods being used to investigate diatom structure and biology, marking considerable advances in recent technology including optical, fluorescence, confocal and electron microscopy, surface-enhanced Raman spectroscopy (SERS), atomic force microscopy (AFM) and spectroscopy as applied to diatoms. Each chapter includes a tutorial on a microscopy technique and reviews its applications in diatom nanotechnology and diatom research. The number of diatomists, diatom research, and their publications are increasing rapidly. Although many books have dealt with various aspects of diatom biotechnology, nanotechnology, and morphology, to our knowledge, no volume exists that summarizes advanced microscopic approaches to diatoms. Audience The intended audience is academic and industry researchers as well as graduate students working on diatoms and diatom nanotechnology, including biosensors, biomedical engineering, solar panels, batteries, drug delivery, insect control, and biofuels.

Encyclopedia of Analytical Science

Encyclopedia of Analytical Science
Author: Anonim
Publsiher: Elsevier
Total Pages: 5109
Release: 2019-04-02
Genre: Science
ISBN: 9780081019849

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The third edition of the Encyclopedia of Analytical Science is a definitive collection of articles covering the latest technologies in application areas such as medicine, environmental science, food science and geology. Meticulously organized, clearly written and fully interdisciplinary, the Encyclopedia of Analytical Science provides foundational knowledge across the scope of modern analytical chemistry, linking fundamental topics with the latest methodologies. Articles will cover three broad areas: analytical techniques (e.g., mass spectrometry, liquid chromatography, atomic spectrometry); areas of application (e.g., forensic, environmental and clinical); and analytes (e.g., arsenic, nucleic acids and polycyclic aromatic hydrocarbons), providing a one-stop resource for analytical scientists. Offers readers a one-stop resource with access to information across the entire scope of modern analytical science Presents articles split into three broad areas: analytical techniques, areas of application and and analytes, creating an ideal resource for students, researchers and professionals Provides concise and accessible information that is ideal for non-specialists and readers from undergraduate levels and higher

Pattern Recognition and Artificial Intelligence

Pattern Recognition and Artificial Intelligence
Author: Mounîm El Yacoubi,Eric Granger,Pong Chi Yuen,Umapada Pal,Nicole Vincent
Publsiher: Springer Nature
Total Pages: 704
Release: 2022-06-01
Genre: Computers
ISBN: 9783031090370

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This two-volume set constitutes the proceedings of the Third International Conference on Pattern Recognition and Artificial Intelligence, ICPRAI 2022, which took place in Paris, France, in June 2022. The 98 full papers presented were carefully reviewed and selected from 192 submissions. The papers present new advances in the field of pattern recognition and artificial intelligence. They are organized in topical sections as follows: pattern recognition; computer vision; artificial intelligence; big data.