Download Microscope Image Processing Ebook PDF

Microscope Image Processing

Microscope Image Processing
A Book

by Qiang Wu,Fatima Aziz Merchant,Kenneth R. Castleman

  • Publisher : Academic Press
  • Release : 2008
  • Pages : 548
  • ISBN : 9780123725783
  • Language : En, Es, Fr & De
GET BOOK

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.

Microscope Image Processing

Microscope Image Processing
A Book

by Qiang Wu,Fatima Merchant,Kenneth Castleman

  • Publisher : Elsevier
  • Release : 2010-07-27
  • Pages : 576
  • ISBN : 9780080558547
  • Language : En, Es, Fr & De
GET BOOK

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

Computer Processing of Electron Microscope Images

Computer Processing of Electron Microscope Images
A Book

by P. W. Hawkes

  • Publisher : Springer Science & Business Media
  • Release : 2012-12-06
  • Pages : 296
  • ISBN : 364281381X
  • Language : En, Es, Fr & De
GET BOOK

Towards the end of the 1960s, a number of quite different circumstances combined to launch a period of intense activity in the digital processing of electron micro graphs. First, many years of work on correcting the resolution-limiting aberrations of electron microscope objectives had shown that these optical impediments to very high resolution could indeed be overcome, but only at the cost of immense exper imental difficulty; thanks largely to the theoretical work of K. -J. Hanszen and his colleagues and to the experimental work of F. Thon, the notions of transfer func tions were beginning to supplant or complement the concepts of geometrical optics in electron optical thinking; and finally, large fast computers, capable of manipu lating big image matrices in a reasonable time, were widely accessible. Thus the idea that recorded electron microscope images could be improved in some way or rendered more informative by subsequent computer processing gradually gained ground. At first, most effort was concentrated on three-dimensional reconstruction, particu larly of specimens with natural symmetry that could be exploited, and on linear operations on weakly scattering specimens (Chap. l). In 1973, however, R. W. Gerchberg and W. O. Saxton described an iterative algorithm that in principle yielded the phase and amplitude of the electron wave emerging from a strongly scattering speci men.

New Approaches to Image Processing based Failure Analysis of Nano-Scale ULSI Devices

New Approaches to Image Processing based Failure Analysis of Nano-Scale ULSI Devices
A Book

by Zeev Zalevsky,Pavel Livshits,Eran Gur

  • Publisher : William Andrew
  • Release : 2013-11-13
  • Pages : 110
  • ISBN : 0128000171
  • Language : En, Es, Fr & De
GET BOOK

New Approaches to Image Processing Based Failure Analysis of Nano-Scale ULSI Devices introduces the reader to transmission and scanning microscope image processing for metal and non-metallic microstructures. Engineers and scientists face the pressing problem in ULSI development and quality assurance: microscopy methods can’t keep pace with the continuous shrinking of feature size in microelectronics. Nanometer scale sizes are below the resolution of light, and imaging these features is nearly impossible even with electron microscopes, due to image noise. This book presents novel "smart" image processing methods, applications, and case studies concerning quality improvement of microscope images of microelectronic chips and process optimization. It explains an approach for high-resolution imaging of advanced metallization for micro- and nanoelectronics. This approach obviates the time-consuming preparation and selection of microscope measurement and sample conditions, enabling not only better electron-microscopic resolution, but also more efficient testing and quality control. This in turn leads to productivity gains in design and development of nano-scale ULSI chips. The authors also present several approaches for super-resolving low-resolution images to improve failure analysis of microelectronic chips. Acquaints users with new software-based approaches to enhance high-resolution microscope imaging of microchip structures Demonstrates how these methods lead to productivity gains in the development of ULSI chips Presents several techniques for the superresolution of images, enabling engineers and scientists to improve their results in failure analysis of microelectronic chips

Digital Image Processing Software Design for Electron Microscope Image Analysis

Digital Image Processing Software Design for Electron Microscope Image Analysis
A Book

by Maria Adamczyk

  • Publisher : Unknown Publisher
  • Release : 1988
  • Pages : 138
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
GET BOOK

Biomedical Image Processing and Three-dimensional Microscopy

Biomedical Image Processing and Three-dimensional Microscopy
10-13 February 1992, San Jose, California

by Rajgopal Sundaraj Acharya,Carol J. Cogswell,Dmitry B. Goldgof

  • Publisher : Unknown Publisher
  • Release : 1992
  • Pages : 835
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
GET BOOK

Image Technology

Image Technology
Advances in Image Processing, Multimedia and Machine Vision

by Jorge L.C. Sanz

  • Publisher : Springer Science & Business Media
  • Release : 2012-12-06
  • Pages : 745
  • ISBN : 3642582885
  • Language : En, Es, Fr & De
GET BOOK

Image processing and machine vision are fields of renewed interest in the commercial market. People in industry, managers, and technical engineers are looking for new technologies to move into the market. Many of the most promising developments are taking place in the field of image processing and its applications. The book offers a broad coverage of advances in a range of topics in image processing and machine vision.

Fundamentals of Light Microscopy and Electronic Imaging

Fundamentals of Light Microscopy and Electronic Imaging
A Book

by Douglas B. Murphy,Michael W. Davidson

  • Publisher : John Wiley & Sons
  • Release : 2012-08-22
  • Pages : 552
  • ISBN : 1118382935
  • Language : En, Es, Fr & De
GET BOOK

Fundamentals of Light Microscopy and Electronic Imaging, Second Edition provides a coherent introduction to the principles and applications of the integrated optical microscope system, covering both theoretical and practical considerations. It expands and updates discussions of multi-spectral imaging, intensified digital cameras, signal colocalization, and uses of objectives, and offers guidance in the selection of microscopes and electronic cameras, as well as appropriate auxiliary optical systems and fluorescent tags. The book is divided into three sections covering optical principles in diffraction and image formation, basic modes of light microscopy, and components of modern electronic imaging systems and image processing operations. Each chapter introduces relevant theory, followed by descriptions of instrument alignment and image interpretation. This revision includes new chapters on live cell imaging, measurement of protein dynamics, deconvolution microscopy, and interference microscopy. PowerPoint slides of the figures as well as other supplementary materials for instructors are available at a companion website: www.wiley.com/go/murphy/lightmicroscopy

Content-based Microscopic Image Analysis

Content-based Microscopic Image Analysis

by Chen Li

  • Publisher : Logos Verlag Berlin GmbH
  • Release : 2016-05-15
  • Pages : 196
  • ISBN : 3832542531
  • Language : En, Es, Fr & De
GET BOOK

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.

New Methods to Improve Large-Scale Microscopy Image Analysis with Prior Knowledge and Uncertainty

New Methods to Improve Large-Scale Microscopy Image Analysis with Prior Knowledge and Uncertainty

by Stegmaier, Johannes

  • Publisher : KIT Scientific Publishing
  • Release : 2017-02-08
  • Pages : 266
  • ISBN : 3731505908
  • Language : En, Es, Fr & De
GET BOOK

Image Analysis

Image Analysis
Methods and Applications, Second Edition

by Donat P. Hader

  • Publisher : CRC Press
  • Release : 2000-08-23
  • Pages : 480
  • ISBN : 9780849302398
  • Language : En, Es, Fr & De
GET BOOK

Automatic image analysis has become an important tool in many fields of biology, medicine, and other sciences. Since the first edition of Image Analysis: Methods and Applications, the development of both software and hardware technology has undergone quantum leaps. For example, specific mathematical filters have been developed for quality enhancement of original images and for extraction of specific features of interest. Also, more complex programs have been developed for the analysis of object forms in distinguishing cancer cells from normal tissue cells. Just as significant, three-dimensional analysis of proteins, organelles, or macroscopic objects is even more complex. In addition, recent space-based experiments have optimized techniques for the extraction of movement parameters of numerous motile objects. The second edition of Image Analysis: Methods and Applications addresses all these new developments. Moreover, two new chapters have been added. One focuses on images on the internet, and the other discusses microscope image restoration. These chapters add significantly to the existing body of information on Internet communication protocol and environment as well as to that on image file formats considerations. The materials also include a list of internet Web sites that pertain to digital images and software along with those that relate to image processing. With these considerations in mind, Image Analysis: Methods and Application, Second Edition is of incalculable value to professionals, academics, and users of all aspects of image analysis in biology and other areas of science.

Quantitative Microscopy and Image Analysis

Quantitative Microscopy and Image Analysis
Conference Proceedings

by David J. Diaz

  • Publisher : Asm International
  • Release : 1994
  • Pages : 133
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
GET BOOK

Sponsored by Materials Characterization Committee of Materials Testing and Quality Control Division ASM Publication More precise data for quality control Accurate analysis of complex images Relationship between ultrasonic and metallographic measurements Correlation between 2- and 3- dimensional distributions. Sixteen selected papers examine theories, concepts and recent advances which will help you fill the need for more precise quality control and microstructure evaluation data through automatic image analysis. Computer-aided techniques now allow you to make fast, accurate quantification of morphological features recorded through optical metallography and scanning electron/transmission electron microscopy. Learn how accurate, reproducible measurements are being made from complex images which were previously difficult to analyze. Visual assessment of global properties and correlation with ultrasonic measurements are discussed. Subjects include: Mathematical Morphology Processing, Scanning Probe Microscopy, Infrared Sensing of Weld Penetration, Stereology of Anisotropic Microstructures Digital X-Ray Mapping.

Quantitative Ion Microscopy by Digital Image Processing

Quantitative Ion Microscopy by Digital Image Processing
A Book

by David Manfred Drummer

  • Publisher : Unknown Publisher
  • Release : 1980
  • Pages : 144
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
GET BOOK

Computer-Assisted Microscopy

Computer-Assisted Microscopy
The Measurement and Analysis of Images

by John C. Russ

  • Publisher : Springer Science & Business Media
  • Release : 2012-12-06
  • Pages : 470
  • ISBN : 1461305632
  • Language : En, Es, Fr & De
GET BOOK

The use of computer-based image analysis systems for all kinds of images, but especially for microscope images, has become increasingly widespread in recent years, as computer power has increased and costs have dropped. Software to perform each of the various tasks described in this book exists now, and without doubt additional algorithms to accomplish these same things more efficiently, and to perform new kinds of image processing, feature discrimination and measurement, will continue to be developed. This is likely to be true particularly in the field of three-dimensional imaging, since new microscopy methods are beginning to be used which can produce such data. It is not the intent of this book to train programmers who will assemble their own computer systems and write their own programs. Most users require only the barest of knowledge about how to use the computer, but the greater their understanding of the various image analysis operations which are possible, their advantages and limitations, the greater the likelihood of success in their application. Likewise, the book assumes little in the way of a mathematical background, but the researcher with a secure knowledge of appropriate statistical tests will find it easier to put some of these methods into real use, and have confidence in the results, than one who has less background and experience. Supplementary texts and courses in statistics, microscopy, and specimen preparation are recommended as necessary.

Optical and Digital Image Processing

Optical and Digital Image Processing
Fundamentals and Applications

by Gabriel Cristobal,Peter Schelkens,Hugo Thienpont

  • Publisher : John Wiley & Sons
  • Release : 2013-02-12
  • Pages : 988
  • ISBN : 3527635254
  • Language : En, Es, Fr & De
GET BOOK

In recent years, Moore's law has fostered the steady growth of the field of digital image processing, though the computational complexity remains a problem for most of the digital image processing applications. In parallel, the research domain of optical image processing has matured, potentially bypassing the problems digital approaches were suffering and bringing new applications. The advancement of technology calls for applications and knowledge at the intersection of both areas but there is a clear knowledge gap between the digital signal processing and the optical processing communities. This book covers the fundamental basis of the optical and image processing techniques by integrating contributions from both optical and digital research communities to solve current application bottlenecks, and give rise to new applications and solutions. Besides focusing on joint research, it also aims at disseminating the knowledge existing in both domains. Applications covered include image restoration, medical imaging, surveillance, holography, etc... "a very good book that deserves to be on the bookshelf of a serious student or scientist working in these areas." Source: Optics and Photonics News

Proceedings of the Fourth International Conference on Signal and Image Processing 2012 (ICSIP 2012)

Proceedings of the Fourth International Conference on Signal and Image Processing 2012 (ICSIP 2012)
A Book

by Mohan S,S Suresh Kumar

  • Publisher : Springer Science & Business Media
  • Release : 2013-01-11
  • Pages : 631
  • ISBN : 813221000X
  • Language : En, Es, Fr & De
GET BOOK

The proceedings includes cutting-edge research articles from the Fourth International Conference on Signal and Image Processing (ICSIP), which is organised by Dr. N.G.P. Institute of Technology, Kalapatti, Coimbatore. The Conference provides academia and industry to discuss and present the latest technological advances and research results in the fields of theoretical, experimental, and application of signal, image and video processing. The book provides latest and most informative content from engineers and scientists in signal, image and video processing from around the world, which will benefit the future research community to work in a more cohesive and collaborative way.

Digital Image Processing

Digital Image Processing
A Book

by Bernd Jähne

  • Publisher : Springer Science & Business Media
  • Release : 2013-03-09
  • Pages : 557
  • ISBN : 3662034778
  • Language : En, Es, Fr & De
GET BOOK

This long-established and well-received monograph offers an integral view of image processing - from image acquisition to the extraction of the data of interest – written by a physical scientists for other scientists. Supplements discussion of the general concepts is supplemented with examples from applications on PC-based image processing systems and ready-to-use implementations of important algorithms. Completely revised and extended, the most notable extensions being a detailed discussion on random variables and fields, 3-D imaging techniques and a unified approach to regularized parameter estimation. Complete text of the book is now available on the accompanying CD-ROM. It is hyperlinked so that it can be used in a very flexible way. CD-ROM contains a full set of exercises to all topics covered by this book and a runtime version of the image processing software heurisko. A large collection of images, image sequences, and volumetric images is available for practice exercises

Fundamentals of Light Microscopy and Electronic Imaging

Fundamentals of Light Microscopy and Electronic Imaging
A Book

by Douglas B. Murphy

  • Publisher : John Wiley & Sons
  • Release : 2002-06-18
  • Pages : 384
  • ISBN : 047123429X
  • Language : En, Es, Fr & De
GET BOOK

Over the last decade, advances in science and technology have profoundly changed the face of light microscopy. Research scientists need to learn new skills in order to use a modern research microscope-skills such as how to align microscope optics and perform image processing. Fundamentals of Light Microscopy and Electronic Imaging explores the basics of microscope design and use. The comprehensive material discusses the optical principles involved in diffraction and image formation in the light microscope, the basic modes of light microscopy, the components of modern electronic imaging systems, and the image processing operations necessary to acquire and prepare an image. Written in a practical, accessible style, Fundamentals of Light Microscopy and Electronic Imaging reviews such topics as: * Illuminators, filters, and isolation of specific wavelengths * Phase contrast and differential interference contrast * Properties of polarized light and polarization microscopy * Fluorescence and confocal laser scanning microscopy * Digital CCD microscopy and image processing Each chapter includes practical demonstrations and exercises along with a discussion of the relevant material. In addition, a thorough glossary assists with complex terminology and an appendix contains lists of materials, procedures for specimen preparation, and answers to questions. An essential resource for both, experienced and novice microscopists.

Biomedical Signal and Image Processing

Biomedical Signal and Image Processing
A Book

by Kayvan Najarian,Robert Splinter

  • Publisher : CRC Press
  • Release : 2005-12-21
  • Pages : 448
  • ISBN : 9780849320996
  • Language : En, Es, Fr & De
GET BOOK

All of the biomedical measurement technologies, which are now instrumental to the medical field, are essentially useless without proper signal and image processing. Biomedical Signal and Image Processing is unique in providing a comprehensive survey of all the conventional and advanced imaging modalities and the main computational methods used for processing the data obtained from each. This book offers self-contained coverage of the mathematics and biology/physiology necessary to build effective algorithms and programs for biomedical signal and image processing applications. The first part of the book details the main signal and image processing, pattern recognition, and feature extraction techniques along with computational methods from other fields such as information theory and stochastic processes. Building on this foundation, the second part explores the major one-dimensional biological signals, the biological origin and importance of each signal, and the commonly used processing techniques with an emphasis on physiology and diagnostic applications, while the third section does the same for imaging modalities. Throughout the book, the authors rely on practical examples using real data from biomedical systems. They supply several programming examples in MATLAB® to provide hands-on experience and insight Integrating all major modalities and computational techniques in a single source, Biomedical Signal and Image Processing is a perfect introduction to the field as well as an ideal reference for the established professional.

Deep Learning for Image Processing Applications

Deep Learning for Image Processing Applications
A Book

by D.J. Hemanth,V. Vieira Estrela

  • Publisher : IOS Press
  • Release : 2017-12
  • Pages : 284
  • ISBN : 1614998221
  • Language : En, Es, Fr & De
GET BOOK

Deep learning and image processing are two areas of great interest to academics and industry professionals alike. The areas of application of these two disciplines range widely, encompassing fields such as medicine, robotics, and security and surveillance. The aim of this book, ‘Deep Learning for Image Processing Applications’, is to offer concepts from these two areas in the same platform, and the book brings together the shared ideas of professionals from academia and research about problems and solutions relating to the multifaceted aspects of the two disciplines. The first chapter provides an introduction to deep learning, and serves as the basis for much of what follows in the subsequent chapters, which cover subjects including: the application of deep neural networks for image classification; hand gesture recognition in robotics; deep learning techniques for image retrieval; disease detection using deep learning techniques; and the comparative analysis of deep data and big data. The book will be of interest to all those whose work involves the use of deep learning and image processing techniques.