Practical Guide To Image Analysis


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Practical Guide to Image Analysis


Practical Guide to Image Analysis

Author: ASM International

language: en

Publisher: ASM International

Release Date: 2000-01-01


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Nine international specialists contribute information about the use of image analysis procedures to evaluate microstructural features. Coverage includes an historical overview of how quantitative image analysis developed; the evolution of current television computer-based analysis systems; the scien

Bioimage Data Analysis Workflows


Bioimage Data Analysis Workflows

Author: Kota Miura

language: en

Publisher: Springer Nature

Release Date: 2019-10-17


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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.

Particle Image Velocimetry


Particle Image Velocimetry

Author: Markus Raffel

language: en

Publisher: Springer Science & Business Media

Release Date: 2007-08-09


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This immensely practical guide to PIV provides a condensed, yet exhaustive guide to most of the information needed for experiments employing the technique. This second edition has updated chapters on the principles and extra information on microscopic, high-speed and three component measurements as well as a description of advanced evaluation techniques. What’s more, the huge increase in the range of possible applications has been taken into account as the chapter describing these applications of the PIV technique has been expanded.