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dc.contributor.editorMiura, Kota
dc.contributor.editorSladoje, Nataša
dc.date.accessioned2020-03-18 13:36:15
dc.date.accessioned2020-04-01T09:00:33Z
dc.date.available2020-04-01T09:00:33Z
dc.date.issued2020
dc.identifier1007135
dc.identifier.urihttp://library.oapen.org/handle/20.500.12657/23026
dc.description.abstractThis 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.
dc.languageEnglish
dc.relation.ispartofseriesLearning Materials in Biosciences
dc.subject.classificationthema EDItEUR::M Medicine and Nursing::MQ Nursing and ancillary services::MQW Biomedical engineeringen_US
dc.subject.classificationthema EDItEUR::P Mathematics and Science::PS Biology, life sciencesen_US
dc.subject.classificationthema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issuesen_US
dc.subject.classificationthema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSF Cellular biology (cytology)en_US
dc.subject.otherMedicine
dc.subject.otherBiomedical engineering
dc.subject.otherCell biology
dc.subject.otherBioinformatics
dc.subject.otherBiology—Technique
dc.subject.otherSystems biology
dc.subject.otherBiological systems
dc.titleBioimage Data Analysis Workflows
dc.typebook
oapen.identifier.doi10.1007/978-3-030-22386-1
oapen.relation.isPublishedBy6c6992af-b843-4f46-859c-f6e9998e40d5
oapen.pages170
oapen.place.publicationCham


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