Content Based Microscopic Image Analysis
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Content Based Microscopic Image Analysis
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Author : Chen Li
language : en
Publisher:
Release Date : 2016
Content Based Microscopic Image Analysis written by Chen Li and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
Content Based Microscopic Image Analysis
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Author : Chen Li
language : en
Publisher: Logos Verlag Berlin GmbH
Release Date : 2016-05-15
Content Based Microscopic Image Analysis written by Chen Li and has been published by Logos Verlag Berlin GmbH this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-15 with Computers categories.
In this dissertation, novel Content-based Microscopic Image Analysis (CBMIA) methods, including Weakly Supervised Learning (WSL), are proposed to aid biological studies. In a CBMIA task, noisy image, image rotation, and object recognition problems need to be addressed. To this end, the first approach is a general supervised learning method, which consists of image segmentation, shape feature extraction, classification, and feature fusion, leading to a semi-automatic approach. In contrast, the second approach is a WSL method, which contains Sparse Coding (SC) feature extraction, classification, and feature fusion, leading to a full-automatic approach. In this WSL approach, the problems of noisy image and object recognition are jointly resolved by a region-based classifier, and the image rotation problem is figured out through SC features. To demonstrate the usefulness and potential of the proposed methods, experiments are implemented on di erent practical biological tasks, including environmental microorganism classification, stem cell analysis, and insect tracking.
Computer Vision For Microscopy Image Analysis
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Author : Mei Chen
language : en
Publisher: Academic Press
Release Date : 2020-12-01
Computer Vision For Microscopy Image Analysis written by Mei Chen and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-01 with Computers categories.
Are you a computer scientist working on image analysis? Are you a biologist seeking tools to process the microscopy data from image-based experiments? Computer Vision for Microscopy Image Analysis provides a comprehensive and in-depth discussion of modern computer vision techniques, in particular deep learning, for microscopy image analysis that will advance your efforts. Progress in imaging techniques has enabled the acquisition of large volumes of microscopy data and made it possible to conduct large-scale, image-based experiments for biomedical discovery. The main challenge and bottleneck in such experiments is the conversion of "big visual data" into interpretable information. Visual analysis of large-scale microscopy data is a daunting task. Computer vision has the potential to automate this task. One key advantage is that computers perform analysis more reproducibly and less subjectively than human annotators. Moreover, high-throughput microscopy calls for effective and efficient techniques as there are not enough human resources to advance science by manual annotation. This book articulates the strong need for biologists and computer vision experts to collaborate to overcome the limits of human visual perception, and devotes a chapter each to the major steps in analyzing microscopy images, such as detection and segmentation, classification, tracking, and event detection. Discover how computer vision can automate and enhance the human assessment of microscopy images for discovery Grasp the state-of-the-art approaches, especially deep neural networks Learn where to obtain open-source datasets and software to jumpstart his or her own investigation
Microscope Image Processing
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Author : Qiang Wu
language : en
Publisher: Elsevier
Release Date : 2010-07-27
Microscope Image Processing written by Qiang Wu and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-07-27 with Computers categories.
Digital image processing, an integral part of microscopy, is increasingly important to the fields of medicine and scientific research. This book provides a unique one-stop reference on the theory, technique, and applications of this technology. Written by leading experts in the field, this book presents a unique practical perspective of state-of-the-art microscope image processing and the development of specialized algorithms. It contains in-depth analysis of methods coupled with the results of specific real-world experiments. Microscope Image Processing covers image digitization and display, object measurement and classification, autofocusing, and structured illumination. Key Features: Detailed descriptions of many leading-edge methods and algorithms In-depth analysis of the method and experimental results, taken from real-life examples Emphasis on computational and algorithmic aspects of microscope image processing Advanced material on geometric, morphological, and wavelet image processing, fluorescence, three-dimensional and time-lapse microscopy, microscope image enhancement, MultiSpectral imaging, and image data management This book is of interest to all scientists, engineers, clinicians, post-graduate fellows, and graduate students working in the fields of biology, medicine, chemistry, pharmacology, and other related fields. Anyone who uses microscopes in their work and needs to understand the methodologies and capabilities of the latest digital image processing techniques will find this book invaluable. Presents a unique practical perspective of state-of-the-art microcope image processing and the development of specialized algorithms Each chapter includes in-depth analysis of methods coupled with the results of specific real-world experiments Co-edited by Kenneth R. Castleman, world-renowned pioneer in digital image processing and author of two seminal textbooks on the subject
Microscopic Image Analysis For Life Science Applications
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Author : Jens Rittscher
language : en
Publisher: Artech House
Release Date : 2008
Microscopic Image Analysis For Life Science Applications written by Jens Rittscher and has been published by Artech House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Medical categories.
Here's a first-of-its-kind book that bridges the gap between biomedical imaging and the bioscience community. This unique resource gives you a detailed understanding of imaging platforms, fluorescence imaging, and fundamental image processing algorithms. Further, it guides you through application of advanced image analysis methods and techniques to specific biological problems. The book presents applications that span a wide range of scales, from the detection of signaling events in sub-cellular structures, to the automated analysis of tissue structures. Other critical areas discussed include the dynamics of cell populations and in vivo microscopy. This cutting-edge volume is supported with over 160 illustrations that support key topics throughout the book. CD-ROM Included! Contains full-color images and videos that further illustrate topics discussed in the book.
Information Technology In Biomedicine
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Author : Ewa Pietka
language : en
Publisher: Springer
Release Date : 2018-06-05
Information Technology In Biomedicine written by Ewa Pietka and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-05 with Technology & Engineering categories.
ITiB’2018 is the 6th Conference on Information Technology in Biomedicine, hosted every two years by the Department of Informatics & Medical Devices, Faculty of Biomedical Engineering, Silesian University of Technology. The Conference is organized under the auspices of the Committee on Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences. The meeting has become an established event that helps to address the demand for fast and reliable technologies capable of processing data and delivering results in a user-friendly, timely and mobile manner. Many of these areas are recognized as research and development frontiers in employing new technology in the clinical setting. Technological assistance can be found in prevention, diagnosis, treatment, and rehabilitation alike. Homecare support for any type of disability may improve standard of living and make people’s lives safer and more comfortable. The book includes the following sections: Ø Image Processing Ø Multimodal Imaging and Computer-aided Surgery Ø Computer-aided Diagnosis Ø Signal Processing and Medical Devices Ø Bioinformatics Ø Modelling & Simulation Ø Analytics in Action on the SAS Platform Ø Assistive Technologies and Affective Computing (ATAC)
Computer Optimized Microscopy
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Author : Elena Rebollo
language : en
Publisher: Humana
Release Date : 2019-08-21
Computer Optimized Microscopy written by Elena Rebollo and has been published by Humana this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-21 with Medical categories.
This volume explores open-source based image analysis techniques to provide a state-of-the-art collection of workflows covering current bioimage analysis problematics, including colocalization, particle counting, 3D structural analysis, ratio imaging and FRET quantification, particle tracking, high-content screening or machine learning. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and scripts, step-by-step, readily reproducible image analysis protocols, and tips on troubleshooting and avoiding known pitfalls. Comprehensive and cutting-edge, Computer Optimized Microscopy: Methods and Protocols is a valuable resource for both novice and experienced researchers who are interested in learning more about this developing field.
New Methods To Improve Large Scale Microscopy Image Analysis With Prior Knowledge And Uncertainty
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Author : Stegmaier, Johannes
language : en
Publisher: KIT Scientific Publishing
Release Date : 2017-02-08
New Methods To Improve Large Scale Microscopy Image Analysis With Prior Knowledge And Uncertainty written by Stegmaier, Johannes and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-02-08 with categories.
Artificial Intelligence In Environmental Microbiology
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Author : Mohammad-Hossein Sarrafzadeh
language : en
Publisher: Frontiers Media SA
Release Date : 2022-07-05
Artificial Intelligence In Environmental Microbiology written by Mohammad-Hossein Sarrafzadeh 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 2022-07-05 with Science categories.
Standard And Super Resolution Bioimaging Data Analysis
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Author : Ann Wheeler
language : en
Publisher: John Wiley & Sons
Release Date : 2017-10-12
Standard And Super Resolution Bioimaging Data Analysis written by Ann Wheeler 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 2017-10-12 with Science categories.
A comprehensive guide to the art and science of bioimaging data acquisition, processing and analysis Standard and Super-Resolution Bioimaging Data Analysis gets newcomers to bioimage data analysis quickly up to speed on the mathematics, statistics, computing hardware and acquisition technologies required to correctly process and document data. The past quarter century has seen remarkable progress in the field of light microscopy for biomedical science, with new imaging technologies coming on the market at an almost annual basis. Most of the data generated by these systems is image-based, and there is a significant increase in the content and throughput of these imaging systems. This, in turn, has resulted in a shift in the literature on biomedical research from descriptive to highly-quantitative. Standard and Super-Resolution Bioimaging Data Analysis satisfies the demand among students and research scientists for introductory guides to the tools for parsing and processing image data. Extremely well illustrated and including numerous examples, it clearly and accessibly explains what image data is and how to process and document it, as well as the current resources and standards in the field. A comprehensive guide to the tools for parsing and processing image data and the resources and industry standards for the biological and biomedical sciences Takes a practical approach to image analysis to assist scientists in ensuring scientific data are robust and reliable Covers fundamental principles in such a way as to give beginners a sound scientific base upon which to build Ideally suited for advanced students having only limited knowledge of the mathematics, statistics and computing required for image data analysis An entry-level text written for students and practitioners in the bioscience community, Standard and Super-Resolution Bioimaging Data Analysis de-mythologises the vast array of image analysis modalities which have come online over the past decade while schooling beginners in bioimaging principles, mathematics, technologies and standards.