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| free image analysis software for microscopy: Bioimage Data Analysis Workflows Kota Miura, Nataša Sladoje, 2019-10-17 This Open Access textbook provides students and researchers in the life sciences with essential practical information on how to quantitatively analyze data images. It refrains from focusing on theory, and instead uses practical examples and step-by step protocols to familiarize readers with the most commonly used image processing and analysis platforms such as ImageJ, MatLab and Python. Besides gaining knowhow on algorithm usage, readers will learn how to create an analysis pipeline by scripting language; these skills are important in order to document reproducible image analysis workflows. The textbook is chiefly intended for advanced undergraduates in the life sciences and biomedicine without a theoretical background in data analysis, as well as for postdocs, staff scientists and faculty members who need to perform regular quantitative analyses of microscopy images. |
| free image analysis software for microscopy: Microscope Image Processing Qiang Wu, Fatima Merchant, Kenneth Castleman, 2010-07-27 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 |
| free image analysis software for microscopy: Computer Vision for Microscopy Image Analysis Mei Chen, 2020-12-01 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 |
| free image analysis software for microscopy: Microscope Image Processing Fatima Merchant, Kenneth Castleman, 2022-08-26 Microscope Image Processing, Second Edition, introduces the basic fundamentals of image formation in microscopy including the importance of image digitization and display, which are key to quality visualization. Image processing and analysis are discussed in detail to provide readers with the tools necessary to improve the visual quality of images, and to extract quantitative information. Basic techniques such as image enhancement, filtering, segmentation, object measurement, and pattern recognition cover concepts integral to image processing. In addition, chapters on specific modern microscopy techniques such as fluorescence imaging, multispectral imaging, three-dimensional imaging and time-lapse imaging, introduce these key areas with emphasis on the differences among the various techniques.The new edition discusses recent developments in microscopy such as light sheet microscopy, digital microscopy, whole slide imaging, and the use of deep learning techniques for image segmentation and analysis with big data image informatics and management.Microscope Image Processing, Second Edition, is suitable for engineers, scientists, clinicians, post-graduate fellows and graduate students working in bioengineering, biomedical engineering, biology, medicine, chemistry, pharmacology and related fields, who use microscopes in their work and would like to understand the methodologies and capabilities of the latest digital image processing techniques or desire to develop their own image processing algorithms and software for specific applications. - Presents a unique practical perspective of state-of-the-art microscope 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 |
| free image analysis software for microscopy: Assess Lakhdar Lamari, 2002 Computer program which performs image analysis for measuring the extent of plant diseases. |
| free image analysis software for microscopy: Whole Slide Imaging Anil V. Parwani, 2021-10-29 This book provides up-to-date and practical knowledge in all aspects of whole slide imaging (WSI) by experts in the field. This includes a historical perspective on the evolution of this technology, technical aspects of making a great whole slide image, the various applications of whole slide imaging and future applications using WSI for computer-aided diagnosis The goal is to provide practical knowledge and address knowledge gaps in this emerging field. This book is unique because it addresses an emerging area in pathology for which currently there is only limited information about the practical aspects of deploying this technology. For example, there are no established selection criteria for choosing new scanners and a knowledge base with the key information. The authors of the various chapters have years of real-world experience in selecting and implementing WSI solutions in various aspects of pathology practice. This text also discusses practical tips and pearls to address the selection of a WSI vendor, technology details, implementing this technology and provide an overview of its everyday uses in all areas of pathology. Chapters include important information on how to integrate digital slides with laboratory information system and how to streamline the “digital workflow” with the intent of saving time, saving money, reducing errors, improving efficiency and accuracy, and ultimately benefiting patient outcomes. Whole Slide Imaging: Current Applications and Future Directions is designed to present a comprehensive and state-of the-art approach to WSI within the broad area of digital pathology. It aims to give the readers a look at WSI with a deeper lens and also envision the future of pathology imaging as it pertains to WSI and associated digital innovations. |
| free image analysis software for microscopy: Introduction to Image Processing and Analysis John C. Russ, J. Christian Russ, 2017-12-19 Image processing comprises a broad variety of methods that operate on images to produce another image. A unique textbook, Introduction to Image Processing and Analysis establishes the programming involved in image processing and analysis by utilizing skills in C compiler and both Windows and MacOS programming environments. The provided mathematical background illustrates the workings of algorithms and emphasizes the practical reasons for using certain methods, their effects on images, and their appropriate applications. The text concentrates on image processing and measurement and details the implementation of many of the most widely used and most important image processing and analysis algorithms. Homework problems are included in every chapter with solutions available for download from the CRC Press website The chapters work together to combine image processing with image analysis. The book begins with an explanation of familiar pixel array and goes on to describe the use of frequency space. Chapters 1 and 2 deal with the algorithms used in processing steps that are usually accomplished by a combination of measurement and processing operations, as described in chapters 3 and 4. The authors present each concept using a mixture of three mutually supportive tools: a description of the procedure with example images, the relevant mathematical equations behind each concept, and the simple source code (in C), which illustrates basic operations. In particularly, the source code provides a starting point to develop further modifications. Written by John Russ, author of esteemed Image Processing Handbook now in its fifth edition, this book demonstrates functions to improve an image's of features and detail visibility, improve images for printing or transmission, and facilitate subsequent analysis. |
| free image analysis software for microscopy: Standard and Super-Resolution Bioimaging Data Analysis Ann Wheeler, Ricardo Henriques, 2017-10-12 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. |
| free image analysis software for microscopy: Medical Image Analysis Alejandro Frangi, Jerry Prince, Milan Sonka, 2023-09-20 Medical Image Analysis presents practical knowledge on medical image computing and analysis as written by top educators and experts. This text is a modern, practical, self-contained reference that conveys a mix of fundamental methodological concepts within different medical domains. Sections cover core representations and properties of digital images and image enhancement techniques, advanced image computing methods (including segmentation, registration, motion and shape analysis), machine learning, how medical image computing (MIC) is used in clinical and medical research, and how to identify alternative strategies and employ software tools to solve typical problems in MIC. - An authoritative presentation of key concepts and methods from experts in the field - Sections clearly explaining key methodological principles within relevant medical applications - Self-contained chapters enable the text to be used on courses with differing structures - A representative selection of modern topics and techniques in medical image computing - Focus on medical image computing as an enabling technology to tackle unmet clinical needs - Presentation of traditional and machine learning approaches to medical image computing |
| free image analysis software for microscopy: The Image Processing Handbook John C. Russ, 2006-12-19 Now in its fifth edition, John C. Russ‘s monumental image processing reference is an even more complete, modern, and hands-on tool than ever before. The Image Processing Handbook, Fifth Edition is fully updated and expanded to reflect the latest developments in the field. Written by an expert with unequalled experience and authority, it offers clea |
| free image analysis software for microscopy: Scanning Electron Microscopy and X-Ray Microanalysis Joseph Goldstein, Dale E. Newbury, Patrick Echlin, David C. Joy, Charles Fiori, Eric Lifshin, 2013-11-11 This book has evolved by processes of selection and expansion from its predecessor, Practical Scanning Electron Microscopy (PSEM), published by Plenum Press in 1975. The interaction of the authors with students at the Short Course on Scanning Electron Microscopy and X-Ray Microanalysis held annually at Lehigh University has helped greatly in developing this textbook. The material has been chosen to provide a student with a general introduction to the techniques of scanning electron microscopy and x-ray microanalysis suitable for application in such fields as biology, geology, solid state physics, and materials science. Following the format of PSEM, this book gives the student a basic knowledge of (1) the user-controlled functions of the electron optics of the scanning electron microscope and electron microprobe, (2) the characteristics of electron-beam-sample inter actions, (3) image formation and interpretation, (4) x-ray spectrometry, and (5) quantitative x-ray microanalysis. Each of these topics has been updated and in most cases expanded over the material presented in PSEM in order to give the reader sufficient coverage to understand these topics and apply the information in the laboratory. Throughout the text, we have attempted to emphasize practical aspects of the techniques, describing those instru ment parameters which the microscopist can and must manipulate to obtain optimum information from the specimen. Certain areas in particular have been expanded in response to their increasing importance in the SEM field. Thus energy-dispersive x-ray spectrometry, which has undergone a tremendous surge in growth, is treated in substantial detail. |
| free image analysis software for microscopy: Digital Image Processing Wilhelm Burger, Mark J. Burge, 2012-01-19 Written as an introduction for undergraduate students, this textbook covers the most important methods in digital image processing. Formal and mathematical aspects are discussed at a fundamental level and various practical examples and exercises supplement the text. The book uses the image processing environment ImageJ, freely distributed by the National Institute of Health. A comprehensive website supports the book, and contains full source code for all examples in the book, a question and answer forum, slides for instructors, etc. Digital Image Processing in Java is the definitive textbook for computer science students studying image processing and digital processing. |
| free image analysis software for microscopy: Digital Pathology Constantino Carlos Reyes-Aldasoro, Andrew Janowczyk, Mitko Veta, Peter Bankhead, Korsuk Sirinukunwattana, 2019-07-03 This book constitutes the refereed proceedings of the 15th European Congress on Digital Pathology, ECDP 2019, held in Warwick, UK in April 2019. The 21 full papers presented in this volume were carefully reviewed and selected from 30 submissions. The congress theme will be Accelerating Clinical Deployment, with a focus on computational pathology and leveraging the power of big data and artificial intelligence to bridge the gaps between research, development, and clinical uptake. |
| free image analysis software for microscopy: Confocal Microscopy for Biologists Alan R. Hibbs, 2004-04-30 There has been a great upsurge in interest in light microscopy in recent years due to the advent of a number of significant advances in microscopy, one of the most important of which is confocal microscopy. Confocal microscopy has now become an important research tool, with a large number of new fluorescent dyes becoming available in the past few years, for probing your pet structure or molecule within fixed or living cell or tissue sampies. Many of the people interested in using confocal microscopy to further their research do not have a background in microscopy or even cell biology and so not only do they find considerable difficulty in obtaining satisfactory results with a confocal microscope, but they may be mislead by how data is being presented. This book is intended to teach you the basic concepts ofmicroscopy, fluorescence, digital imaging and the principles of confocal microscopy so that you may take full advantage ofthe excellent confocal microscopes now available. This book is also an excellent reference source for information related to confocal microscopy for both beginners and the more advanced users. For example, do you need to know the optimal pinhole size for a 63x 1. 4 NA lens? Do you need to know the fluorescence emission spectrum of Alexa 568? Access to the wealth of practical information in this book is made easier by using both the detailed index and the extensive glossary. |
| free image analysis software for microscopy: Focus on Bio-Image Informatics Winnok H. De Vos, Sebastian Munck, Jean-Pierre Timmermans, 2016-05-20 This volume of Advances Anatomy Embryology and Cell Biology focuses on the emerging field of bio-image informatics, presenting novel and exciting ways of handling and interpreting large image data sets. A collection of focused reviews written by key players in the field highlights the major directions and provides an excellent reference work for both young and experienced researchers. |
| free image analysis software for microscopy: Microscopy Terence David Allen, 2015 Using light, electrons, or X-rays, microscopes today form a vital tool not only in biology but in many other disciplines, including materials science and nanotechnology. In this Very Short Introduction Terence Allen describes the scientific principles behind the main forms of microscopy, and the exciting new developments in the field. Beginning with a brief history of microscopy, Allen surveys the diverse and powerful forms of microscopes available today, illustrating how microscopy impinges on almost every aspect of our daily lives.--Inside front cover. |
| free image analysis software for microscopy: Microscopic Image Analysis for Life Science Applications Jens Rittscher, Raghu Machiraju, Stephen T. C. Wong, 2008 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. |
| free image analysis software for microscopy: Morphological Image Analysis Pierre Soille, 2013-03-14 The book is self-contained in the sense that it is accessible to engineers, scientists, and practitioners having no prior experience with morphology. In addition, most necessary background notions about digital image processing are covered. The emphasis being put on the techniques useful for solving practical problems rather than the theory underlying mathematical morphology, no special knowledge about set theory and topology is required. Nevertheless, the book goes well beyond an introduction to mathematical morphology. Indeed, starting from the fundamental transformations, more elaborate methods which have proven their practical usefulness are explained. This is achieved through a step by step process pursued until the most recent advances. |
| free image analysis software for microscopy: Pattern Recognition and Image Analysis Joao Miguel Sanches, Luisa Micó, Jaime Cardoso, 2013-05-23 This book constitutes the refereed proceedings of the 6th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2013, held in Funchal, Madeira, Portugal, in June 2013. The 105 papers (37 oral and 68 poster ones) presented were carefully reviewed and selected from 181 submissions. The papers are organized in topical sections on computer vision, pattern recognition, image and signal, applications. |
| free image analysis software for microscopy: Atomic Force Microscopy Wesley C. Sanders, 2019-10-08 This book focuses primarily on the atomic force microscope and serves as a reference for students, postdocs, and researchers using atomic force microscopes for the first time. In addition, this book can serve as the primary text for a semester-long introductory course in atomic force microscopy. There are a few algebra-based mathematical relationships included in the book that describe the mechanical properties, behaviors, and intermolecular forces associated with probes used in atomic force microscopy. Relevant figures, tables, and illustrations also appear in each chapter in an effort to provide additional information and points of interest. This book includes suggested laboratory investigations that provide opportunities to explore the versatility of the atomic force microscope. These laboratory exercises include opportunities for experimenters to explore force curves, surface roughness, friction loops, conductivity imaging, and phase imaging. |
| free image analysis software for microscopy: Standard and Super-Resolution Bioimaging Data Analysis Ann Wheeler, Ricardo Henriques, 2017-12-26 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. |
| free image analysis software for microscopy: Transmission Electron Microscopy David B. Williams, C. Barry Carter, 2009-08-05 This groundbreaking text has been established as the market leader throughout the world. Profusely illustrated, the book provides the necessary instructions for successful hands-on application of this versatile materials characterization technique. |
| free image analysis software for microscopy: Nanoscopy and Multidimensional Optical Fluorescence Microscopy Alberto Diaspro, 2010-04-26 Alberto Diaspro has been choreographing light's dance for over 20 years, and in Nanoscopy and Multidimensional Optical Fluorescence Microscopy, he has assembled a diverse group of experts to explain the methods they use to coax light to reveal biology's secrets.- From the Foreword by Daniel Evanko, editor, Nature Methods Nanoscopy and Multidimens |
| free image analysis software for microscopy: Image Analysis in Histology Richard Wootton, David Springall, Julia Polak, 1995-05-11 This volume provides a timely and useful introduction to the theory and practical application of image analysis in histology. This powerful research technique can be used to detect not only stored products in a cell (immunocytochemistry) but the synthetic machinery and the genes that control it (in situ hybridisation), as well as the specific binding sites that act as receptors for a molecule following its release (in vitro autoradiography). The book provides a good introduction for beginners before looking in greater detail at more advanced material in selected areas. The volume highlights the importance of technique in gathering quantitative information. The book is divided into four sections: introductory material, image acquisition, image processing, and applications. The applications areas include quantitative immunochemistry, quantification of nerves and neurotransmitters and automated grain counting in in situ hybridisation histochemistry. |
| free image analysis software for microscopy: Computer Vision and Applications Bernd Jahne, 2000-05-24 Based on the highly successful 3-volume reference Handbook of Computer Vision and Applications, this concise edition covers in a single volume the entire spectrum of computer vision ranging form the imaging process to high-end algorithms and applications. This book consists of three parts, including an application gallery. - Bridges the gap between theory and practical applications - Covers modern concepts in computer vision as well as modern developments in imaging sensor technology - Presents a unique interdisciplinary approach covering different areas of modern science |
| free image analysis software for microscopy: Atomic Force Microscopy Peter Eaton, Paul West, 2010-03-25 Atomic force microscopes are very important tools for the advancement of science and technology. This book provides an introduction to the microscopes so that scientists and engineers can learn both how to use them, and what they can do. |
| free image analysis software for microscopy: Light and Video Microscopy Randy O. Wayne, 2013-12-16 The purpose of this book is to provide the most comprehensive, easy-to-use, and informative guide on light microscopy. Light and Video Microscopy will prepare the reader for the accurate interpretation of an image and understanding of the living cell. With the presentation of geometrical optics, it will assist the reader in understanding image formation and light movement within the microscope. It also provides an explanation of the basic modes of light microscopy and the components of modern electronic imaging systems and guides the reader in determining the physicochemical information of living and developing cells, which influence interpretation. - Brings together mathematics, physics, and biology to provide a broad and deep understanding of the light microscope - Clearly develops all ideas from historical and logical foundations - Laboratory exercises included to assist the reader with practical applications - Microscope discussions include: bright field microscope, dark field microscope, oblique illumination, phase-contrast microscope, photomicrography, fluorescence microscope, polarization microscope, interference microscope, differential interference microscope, and modulation contrast microscope |
| free image analysis software for microscopy: Computational Modeling of Objects Represented in Images Reneta P. Barneva, Valentin E. Brimkov, Herbert A. Hauptman, Renato M. Natal Jorge, Joao Tavares, 2010-04-21 This volume constitutes the refereed proceedings of the International Symposium Computational Modeling of Objects Represented in Images. Fundamentals, Methods and Applications, CompIMAGE 2010, held in Buffalo, NY, in May 2010. The 28 revised full papers presented were carefully reviewed and selected from 77 submissions. They are organized in topical sections on theoretical foundations of image analysis and processing; methods and applications on medical imaging, bioimaging, biometrics, and imaging in material sciences, as well as methods and applications on image reconstruction, computed tomography, and other applications. |
| free image analysis software for microscopy: Live Cell Imaging Robert D. Goldman, David L. Spector, 2005 Recent advances in imaging technology reveal, in real time and great detail, critical changes in living cells and organisms. This manual is a compendium of emerging techniques, organized into two parts: specific methods such as fluorescent labeling, and delivery and detection of labeled molecules in cells; and experimental approaches ranging from the detection of single molecules to the study of dynamic processes in organelles, organs, and whole animals. Although presented primarily as a laboratory manual, the book includes introductory and background material and could be used as a textbook in advanced courses. It also includes a DVD containing movies of living cells in action, created by investigators using the imaging techniques discussed in the book. The editors, David Spector and Robert Goldman, whose previous book was Cells: A Laboratory Manual,are highly respected investigators who have taught microscopy courses at Cold Spring Harbor Laboratory, the Marine Biology Laboratory at Woods Hole, and Northwestern University. |
| free image analysis software for microscopy: Advances in Animal Disease Diagnosis Suresh Kumar Gahlawat, Sushila Maan, 2021-06-15 Advances in Animal Disease Diagnosis: Infectious animal diseases caused by pathogenic microorganisms such as bacteria, fungi, and viruses threaten the health and well-being of wildlife, livestock and human populations, limit productivity and significantly increase economic losses to each sector. Pathogen de-tection is an important step for the diagnosis and successful treatment of animal diseases as well as control management in farm and field conditions. The conventional techniques employed to diagnose pathogens in livestock species are time-consuming and sometimes give inconclusive results. On the contrary, molecular techniques have the potential to diag-nose known pathogens/conditions quickly, reliably, and unequivocally as well as for novel pathogen detection. New advances in diagnostics and vaccine design using genomics have developed powerful new methods that have also set the stage for the enhanced diagnosis, surveillance, and control of infectious diseases. High-throughput sequencing (HTS), for ex-ample, uses the latest DNA sequencing platforms in the detection, identification, and detailed analysis of both pathogen and host genomes. This book will explore some key opportunities in the context of animal health, such as the detection of new microorganisms and the development of improved diagnosis of emerging or re-emerging diseases and other clinical conditions, viz. biosensors, nanotools, and omics technologies. Features • Details comprehensive knowledge on the latest molecular techniques for animal disease diagnosis and management • Examines how DNA-based diagnostic techniques will assist international efforts to control the introduction of exotic diseases into new geographic areas • Describes the latest molecular assays for the rapid and accurate detection of pathogens • Helps in working towards meeting the global challenge for sustainable food production and the eradication of poverty • With new biotechnological developments, this fully updated book is a treasure trove of the latest information in animal and medical science |
| free image analysis software for microscopy: Second Harmonic Generation Imaging Francesco S. Pavone, Paul J. Campagnola, 2016-04-19 Second-harmonic generation (SHG) microscopy has shown great promise for imaging live cells and tissues, with applications in basic science, medical research, and tissue engineering. Second Harmonic Generation Imaging offers a complete guide to this optical modality, from basic principles, instrumentation, methods, and image analysis to biomedical a |
| free image analysis software for microscopy: Selenium Webdriver Narayanan Palani, 2016-11-12 To learn about software-testing job opportunities and practice with sample scripts on how to automate software applications using Selenium Webdriver, TestNG, JUnit, Cucumber BDD within Eclipse-based Java Projects and build an extensive Data Driven Automation Framework that consists of Screenshot capability, Log4J Integration, XSLT Reporting, Parameterisation, Object Repositories, Excel Sheets–based Data Input/Outputs, Cross Browser Tests using Firefox, Chrome and Internet Explorer, this book is an unmatchable one. You can also enhance tests with Page Object Model, Reuse Selenium IDE scripts to Load Testing using JMeter! |
| free image analysis software for microscopy: Handbook of Biological Confocal Microscopy James Pawley, 2013-04-17 This third edition of a classic text in biological microscopy includes detailed descriptions and in-depth comparisons of parts of the microscope itself, digital aspects of data acquisition and properties of fluorescent dyes, the techniques of 3D specimen preparation and the fundamental limitations, and practical complexities of quantitative confocal fluorescence imaging. Coverage includes practical multiphoton, photodamage and phototoxicity, 3D FRET, 3D microscopy correlated with micro-MNR, CARS, second and third harmonic signals, ion imaging in 3D, scanning RAMAN, plant specimens, practical 3D microscopy and correlated optical tomography. |
| free image analysis software for microscopy: Embryonic Stem Cell Protocols Kursad Turksen, 2022-07-25 This fully updated volume explores improved and extended protocols for embryonic stem cell (ESC) research, provided with the most direct and informative methodologies currently available. The book examines how these models for cell lineage and differentiation studies have continued to mature into a critical research workhorse. Written for the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and up-to-date, Embryonic Stem Cell Protocols, Fourth Edition serves as an ideal resource for researching mining the depths of the ESC field. |
| free image analysis software for microscopy: Imaging Flow Cytometry Natasha S. Barteneva, Ivan A. Vorobjev, 2015-11-23 This detailed volume for the first time explores techniques and protocols involving quantitative imaging flow cytometry (IFC), which has revolutionized our ability to analyze cells, cellular clusters, and populations in a remarkable fashion. Beginning with an introduction to technology, the book continues with sections addressing protocols for studies on the cell nucleus, nucleic acids, and FISH techniques using an IFC instrument, immune response analysis and drug screening, IFC protocols for apoptosis and cell death analysis, as well as morphological analysis and the identification of rare cells. Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Imaging Flow Cytometry: Methods and Protocols will be a critical source for all laboratories seeking to implement IFC in their research studies. |
| free image analysis software for microscopy: Confocal Microscopy Stephen W. Paddock, 2008-02-03 In Confocal Microscopy Methods and Protocols, Stephen Paddock and a highly skilled panel of experts lead the researcher using confocal techniques from the bench top, through the imaging process, to the journal page. They concisely describe all the key stages of confocal imaging-from tissue sampling methods, through the staining process, to the manipulation, presentation, and publication of the realized image. Written in a user-friendly, nontechnical style, the methods specifically cover most of the commonly used model organisms: worms, sea urchins, flies, plants, yeast, frogs, and zebrafish. Centered in the many biological applications of the confocal microscope, the book makes possible the successful imaging of both fixed and living specimens using primarily the laser scanning confocal microscope. The powerful hands-on methods collected in Confocal Microscopy Methods and Protocols will help even the novice to produce first-class cover-quality confocal images. |
| free image analysis software for microscopy: Electron Microscopy John J. Bozzola, Lonnie Dee Russell, 1999 New edition of an introductory reference that covers all of the important aspects of electron microscopy from a biological perspective, including theory of scanning and transmission; specimen preparation; darkroom, digital imaging, and image analysis; laboratory safety; interpretation of images; and an atlas of ultrastructure. Generously illustrated with bandw line drawings and photographs. Annotation copyrighted by Book News, Inc., Portland, OR |
| free image analysis software for microscopy: NCRR Reporter , 1997 |
| free image analysis software for microscopy: Level Set Methods and Fast Marching Methods J. A. Sethian, 1999-06-13 This new edition of Professor Sethian's successful text provides an introduction to level set methods and fast marching methods, which are powerful numerical techniques for analyzing and computing interface motion in a host of settings. They rely on a fundamental shift in how one views moving boundaries; rethinking the natural geometric Lagrangian perspective and exchanging it for an Eulerian, initial value partial differential equation perspective. For this edition, the collection of applications provided in the text has been expanded, including examples from physics, chemistry, fluid mechanics, combustion, image processing, material science, fabrication of microelectronic components, computer vision, computer-aided design, and optimal control theory. This book will be a useful resource for mathematicians, applied scientists, practising engineers, computer graphic artists, and anyone interested in the evolution of boundaries and interfaces. |
| free image analysis software for microscopy: Applied Machine Learning for Smart Data Analysis Nilanjan Dey, Sanjeev Wagh, Parikshit N. Mahalle, Mohd. Shafi Pathan, 2019-05-20 The book focuses on how machine learning and the Internet of Things (IoT) has empowered the advancement of information driven arrangements including key concepts and advancements. Ontologies that are used in heterogeneous IoT environments have been discussed including interpretation, context awareness, analyzing various data sources, machine learning algorithms and intelligent services and applications. Further, it includes unsupervised and semi-supervised machine learning techniques with study of semantic analysis and thorough analysis of reviews. Divided into sections such as machine learning, security, IoT and data mining, the concepts are explained with practical implementation including results. Key Features Follows an algorithmic approach for data analysis in machine learning Introduces machine learning methods in applications Address the emerging issues in computing such as deep learning, machine learning, Internet of Things and data analytics Focuses on machine learning techniques namely unsupervised and semi-supervised for unseen and seen data sets Case studies are covered relating to human health, transportation and Internet applications |
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