Bioimage Data Analysis Workflows

Bioimage Data Analysis Workflows.jpg

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

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