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Bioimage Data Analysis Workflows
Nikon Imaging Center, Heidelberg, Germany.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.ORCID iD: 0000-0002-6041-6310
2019 (English)Collection (editor) (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
Springer, 2019.
Series
Learning Materials in Biosciences, ISSN 2509-6125
Keywords [en]
Bioimaging, Bioimage Analysis, ImageJ, Imaging for Biologists, Learning Scripting Language, Matlab, Microscopy Images, Python, Quantitaive Analysis Quantitative Microscopy, Open Access
National Category
Medical Image Processing
Research subject
Computerized Image Processing
Identifiers
URN: urn:nbn:se:uu:diva-398238DOI: 10.1007/978-3-030-22386-1ISBN: 978-3-030-22385-4 (print)ISBN: 978-3-030-22386-1 (electronic)OAI: oai:DiVA.org:uu-398238DiVA, id: diva2:1375064
Funder
EU, Horizon 2020, CA15124Available from: 2019-12-04 Created: 2019-12-04 Last updated: 2020-04-08Bibliographically approved

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fulltext(11724 kB)27 downloads
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Type fulltextMimetype application/pdf

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Sladoje, Natasa

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
  • html
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