Microscope Image Processing

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

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  • Author : Qiang Wu
  • Publisher : Elsevier
  • Pages : 576 pages
  • ISBN : 9780080558547
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKMicroscope Image Processing

Microscope Image Processing

Microscope Image Processing
  • Author : Qiang Wu,Fatima Merchant,Kenneth Castleman
  • Publisher : Elsevier
  • Release : 27 July 2010
GET THIS BOOKMicroscope Image Processing

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

Computer Processing of Electron Microscope Images

Computer Processing of Electron Microscope Images
  • Author : P. W. Hawkes
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
GET THIS BOOKComputer Processing of Electron Microscope Images

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

Microscope Image Processing

Microscope Image Processing
  • Author : Fatima Merchant,Kenneth Castleman
  • Publisher : Academic Press
  • Release : 15 September 2021
GET THIS BOOKMicroscope Image Processing

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

Computer Vision for Microscopy Image Analysis

Computer Vision for Microscopy Image Analysis
  • Author : Mei Chen
  • Publisher : Academic Press
  • Release : 01 December 2020
GET THIS BOOKComputer Vision for Microscopy Image Analysis

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

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
  • Author : Zeev Zalevsky,Pavel Livshits,Eran Gur
  • Publisher : William Andrew
  • Release : 13 November 2013
GET THIS BOOKNew 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 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

Fundamentals of Light Microscopy and Electronic Imaging

Fundamentals of Light Microscopy and Electronic Imaging
  • Author : Douglas B. Murphy,Michael W. Davidson
  • Publisher : John Wiley & Sons
  • Release : 22 August 2012
GET THIS BOOKFundamentals of Light Microscopy and Electronic Imaging

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

Microscope Image Processing

Microscope Image Processing
  • Author : Qiang Wu,Fatima Merchant,Kenneth Castleman
  • Publisher : Unknown Publisher
  • Release : 25 January 2022
GET THIS BOOKMicroscope Image Processing

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.

Microscopic Image Analysis for Life Science Applications

Microscopic Image Analysis for Life Science Applications
  • Author : Jens Rittscher,Raghu Machiraju,Stephen T. C. Wong
  • Publisher : Artech House
  • Release : 25 January 2022
GET THIS BOOKMicroscopic Image Analysis for Life Science Applications

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.

Mathematical Models in Biology

Mathematical Models in Biology
  • Author : Valeria Zazzu,Maria Brigida Ferraro,Mario R. Guarracino
  • Publisher : Springer
  • Release : 26 November 2015
GET THIS BOOKMathematical Models in Biology

This book presents an exciting collection of contributions based on the workshop “Bringing Maths to Life” held October 27-29, 2014 in Naples, Italy. The state-of-the art research in biology and the statistical and analytical challenges facing huge masses of data collection are treated in this Work. Specific topics explored in depth surround the sessions and special invited sessions of the workshop and include genetic variability via differential expression, molecular dynamics and modeling, complex biological systems viewed from quantitative models, and microscopy

Computer-Assisted Microscopy

Computer-Assisted Microscopy
  • Author : John C. Russ
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
GET THIS BOOKComputer-Assisted Microscopy

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