Overview
- Wins readers over with its highly practical approach, instead of using too much theory
- Provides non-experts with the know-how to perform image analyses on their own
- A valuable asset for diverse groups in the life sciences and biomedicine
Part of the book series: Learning Materials in Biosciences (LMB)
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Table of contents (6 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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.
Editors and Affiliations
About the editors
Dr. Kota Miura is a Bioimage Data Analyst and works with various research groups at the EMBL in Heidelberg, Germany. He is also Vice Chair of NEUBIAS (the Network of European Bioimage Analysts).
Natasa Sladoje is an Associate Professor at the Centre for Image Analysis, Department of Information Technology at Uppsala University in Sweden and a Professor at the Faculty of Technical Sciences, University of Novi Sad, in Serbia. She is also an Associate Research Professor at the Mathematical Institute of the Serbian Academy of Sciences and Arts.
Bibliographic Information
Book Title: Bioimage Data Analysis Workflows
Editors: Kota Miura, Nataša Sladoje
Series Title: Learning Materials in Biosciences
DOI: https://doi.org/10.1007/978-3-030-22386-1
Publisher: Springer Cham
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2020
Softcover ISBN: 978-3-030-22385-4Published: 30 October 2019
eBook ISBN: 978-3-030-22386-1Published: 17 October 2019
Series ISSN: 2509-6125
Series E-ISSN: 2509-6133
Edition Number: 1
Number of Pages: X, 170
Number of Illustrations: 11 b/w illustrations, 58 illustrations in colour
Topics: Biomedical Engineering/Biotechnology, Cell Biology, Computational Biology/Bioinformatics, Biological Techniques, Systems Biology