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Bioimage Data Analysis Workflows

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Author: Search for this author SpringerLink (Online service)
Medium identifier: OA
Year: 2020.
Publisher: Cham :, Springer International Publishing :
Series: Learning Materials in Biosciences,
Media group: eBook
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Content

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.

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Details

Author: Search for this author SpringerLink (Online service)
Statement of Responsibility: edited by Kota Miura, Nataša Sladoje.
Medium identifier: OA
Year: 2020.
Publisher: Cham :, Springer International Publishing :
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Subject type: Search for this subject type MQW, MED003040
ISBN: 9783030223861
Description: 1st ed. 2020., X, 170 p. 69 illus., 58 illus. in color., online resource.
Series: Learning Materials in Biosciences,
Tags: Biomedical engineering.; Cell biology.; Bioinformatics.; Biology—Technique.; Systems biology.; Biological systems.; Biomedical Engineering/Biotechnology.; Cell Biology.; Computational Biology/Bioinformatics.; Biological Techniques.; Systems Biology.
Media group: eBook