Dublin Core
Title
Bioimage Data Analysis Workflows
Subject
Biology
Description
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.
Creator
Miura, Kota (editor)
Sladoje, Nataša (editor)
Source
http://library.oapen.org/handle/20.500.12657/23026
Publisher
Publisher Springer Nature
Publisher website https://www.springernature.com/gp/products/books
Date
2020
Contributor
Tatik
Rights
https://creativecommons.org/licenses/by/4.0
Format
PDF
Language
English
Type
Textbooks
Identifier
DOI: 10.1007/978-3-030-22386-1