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Bioimage Data Analysis Workflows

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Verfasser: Suche nach diesem Verfasser SpringerLink (Online service)
Medienkennzeichen: OA
Jahr: 2020.
Verlag: Cham :, Springer International Publishing :
Reihe: Learning Materials in Biosciences,
Mediengruppe: eBook
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Inhalt

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

Verfasser: Suche nach diesem Verfasser SpringerLink (Online service)
Verfasserangabe: edited by Kota Miura, Nataša Sladoje.
Medienkennzeichen: OA
Jahr: 2020.
Verlag: Cham :, Springer International Publishing :
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Interessenkreis: Suche nach diesem Interessenskreis MQW, MED003040
ISBN: 9783030223861
Beschreibung: 1st ed. 2020., X, 170 p. 69 illus., 58 illus. in color., online resource.
Reihe: Learning Materials in Biosciences,
Schlagwörter: Biomedical engineering.; Cell biology.; Bioinformatics.; Biology—Technique.; Systems biology.; Biological systems.; Biomedical Engineering/Biotechnology.; Cell Biology.; Computational Biology/Bioinformatics.; Biological Techniques.; Systems Biology.
Mediengruppe: eBook