Bioimage Data Analysis Workflows (Paperback, 1st ed. 2020)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Learning Materials in Biosciences
Release date:	October 2019
First published:	2020
Editors:	Kota Miura • Natasa Sladoje
Dimensions:	240 x 168 x 11mm (L x W x T)
Format:	Paperback
Pages:	170
Edition:	1st ed. 2020
ISBN-13:	978-3-03-022385-4
Categories:	Books > Medicine > Nursing & ancillary services > Biomedical engineering > General Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > General Books > Science & Mathematics > Biology, life sciences > Cellular biology > General Promotions
LSN:	3-03-022385-X
Barcode:	9783030223854

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