Toward an Automated System for the Analysis of Cell Behavior PDF Download
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Author: Seungil Huh
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Author: Seungil Huh
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Author: Julienne Marie LaChance
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Category :
Languages : en
Pages : 0
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Coordinated cellular motion is crucial for proper tissue organization and function. The ability to efficiently analyze group behaviors within large epithelial tissues (>50,000 cells) offers the exciting potential for new discoveries in morphogenesis, growth, wound healing, and possibly even cancer invasion. In recent years, a number of techniques, particularly in the deep learning space, have emerged as promising tools for managing the complexity of large populations of cells. My research focuses on the problem of discovering collective phenomena to better understand and control large epithelial tissues, with an emphasis on deep-learning-driven methods for automated analysis. There are multiple challenges that I have addressed towards this end. First, methods for gathering data pertaining to the physical and dynamical properties of cells (location, size, shape) must be both efficient and minimally disruptive to cell behavior. I have developed an algorithm to perform automatic reconstruction of sub-cellular features directly from transmitted light microscopy images, thereby mitigating the need for expensive, time-consuming, and phototoxic fluorescence images, while enabling rapid post-processing of massive datasets. Second, patterns of cell proliferation and migration must be analyzed in expanding tissues of larger sizes (at the millimeter-scale) and over longer times to capture crucial dynamics. I present data comprising the first comprehensive study of macro-scale, long-term epithelial expansion. Third, automated methods for the discovery of collective phenomena in large tissues must realistically capture biological complexity. I apply deep attention networks to epithelial cell trajectory data in order to gain insight into collective rules, with recommendations towards future research directions. In addition to my collective dynamics work, I led a team of engineers in response to the CoVID-19 pandemic, designing a low-cost, pressure-controlled ventilator. The open-source design has already proven a viable research platform for machine learning control strategies, enabling safer and more robust mechanical ventilation for all patients. By designing a new set of methods for the exploration of large tissue dynamics, I aim to inspire new strategies for manipulating mechanisms within a living tissue; to streamline scientific research in both academia and industry; and to motivate novel control policies in systems involving non-biological, decentralized swarms.
Author: S. Kevin Zhou
Publisher: Academic Press
ISBN: 0128026766
Category : Computers
Languages : en
Pages : 548
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This book describes the technical problems and solutions for automatically recognizing and parsing a medical image into multiple objects, structures, or anatomies. It gives all the key methods, including state-of- the-art approaches based on machine learning, for recognizing or detecting, parsing or segmenting, a cohort of anatomical structures from a medical image. Written by top experts in Medical Imaging, this book is ideal for university researchers and industry practitioners in medical imaging who want a complete reference on key methods, algorithms and applications in medical image recognition, segmentation and parsing of multiple objects. Learn: Research challenges and problems in medical image recognition, segmentation and parsing of multiple objects Methods and theories for medical image recognition, segmentation and parsing of multiple objects Efficient and effective machine learning solutions based on big datasets Selected applications of medical image parsing using proven algorithms Provides a comprehensive overview of state-of-the-art research on medical image recognition, segmentation, and parsing of multiple objects Presents efficient and effective approaches based on machine learning paradigms to leverage the anatomical context in the medical images, best exemplified by large datasets Includes algorithms for recognizing and parsing of known anatomies for practical applications
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Publisher: Academic Press
ISBN: 9780124167421
Category : Technology & Engineering
Languages : en
Pages : 0
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This new volume of Methods in Cell Biology looks at micropatterning in cell biology and includes chapters on protein photo-patterning on PEG with benzophenone, laser-directed cell printing and dip pen nanolithography. The cutting-edge material in this comprehensive collection is intended to guide researchers for years to come.
Author: Jerry J. Buccafusco
Publisher: CRC Press
ISBN: 1420041819
Category : Medical
Languages : en
Pages : 341
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Book Description
Using the most well-studied behavioral analyses of animal subjects to promote a better understanding of the effects of disease and the effects of new therapeutic treatments on human cognition, Methods of Behavior Analysis in Neuroscience provides a reference manual for molecular and cellular research scientists in both academia and the pharmaceutic
Author:
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Category : Power resources
Languages : en
Pages : 562
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Book Description
Semiannual, with semiannual and annual indexes. References to all scientific and technical literature coming from DOE, its laboratories, energy centers, and contractors. Includes all works deriving from DOE, other related government-sponsored information, and foreign nonnuclear information. Arranged under 39 categories, e.g., Biomedical sciences, basic studies; Biomedical sciences, applied studies; Health and safety; and Fusion energy. Entry gives bibliographical information and abstract. Corporate, author, subject, report number indexes.
Author: Rafael A. Calvo
Publisher: Oxford Library of Psychology
ISBN: 0199942234
Category : Computers
Languages : en
Pages : 625
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Book Description
"The Oxford Handbook of Affective Computing is a definitive reference in the burgeoning field of affective computing (AC), a multidisciplinary field encompassing computer science, engineering, psychology, education, neuroscience, and other disciplines. AC research explores how affective factors influence interactions between humans and technology, how affect sensing and affect generation techniques can inform our understanding of human affect, and on the design, implementation, and evaluation of systems involving affect at their core. The volume features 41 chapters and is divided into five sections: history and theory, detection, generation, methodologies, and applications. Section 1 begins with the making of AC and a historical review of the science of emotion. The following chapters discuss the theoretical underpinnings of AC from an interdisciplinary viewpoint. Section 2 examines affect detection or recognition, a commonly investigated area. Section 3 focuses on aspects of affect generation, including the synthesis of emotion and its expression via facial features, speech, postures, and gestures. Cultural issues are also discussed. Section 4 focuses on methodological issues in AC research, including data collection techniques, multimodal affect databases, formats for the representation of emotion, crowdsourcing techniques, machine learning approaches, affect elicitation techniques, useful AC tools, and ethical issues. Finally, Section 5 highlights applications of AC in such domains as formal and informal learning, games, robotics, virtual reality, autism research, health care, cyberpsychology, music, deception, reflective writing, and cyberpsychology. This compendium will prove suitable for use as a textbook and serve as a valuable resource for everyone with an interest in AC."--
Author: Azar, Ahmad Taher
Publisher: IGI Global
ISBN: 1466672498
Category : Technology & Engineering
Languages : en
Pages : 795
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Book Description
In industrial engineering and manufacturing, control of individual processes and systems is crucial to developing a quality final product. Rapid developments in technology are pioneering new techniques of research in control and automation with multi-disciplinary applications in electrical, electronic, chemical, mechanical, aerospace, and instrumentation engineering. The Handbook of Research on Advanced Intelligent Control Engineering and Automation presents the latest research into intelligent control technologies with the goal of advancing knowledge and applications in various domains. This text will serve as a reference book for scientists, engineers, and researchers, as it features many applications of new computational and mathematical tools for solving complicated problems of mathematical modeling, simulation, and control.
Author: Shimon Y. Nof
Publisher: Springer Nature
ISBN: 3030967298
Category : Technology & Engineering
Languages : en
Pages : 1533
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Book Description
This handbook incorporates new developments in automation. It also presents a widespread and well-structured conglomeration of new emerging application areas, such as medical systems and health, transportation, security and maintenance, service, construction and retail as well as production or logistics. The handbook is not only an ideal resource for automation experts but also for people new to this expanding field.
Author: United States. Congress. Senate. Committee on Aeronautical and Space Sciences
Publisher:
ISBN:
Category : Technology transfer
Languages : en
Pages : 212
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