Treffer: Bioimage Data Analysis Workflows

Title:
Bioimage Data Analysis Workflows
Contributors:
Miura, Kota, Sladoje, Nataša
Publisher Information:
Cham: Springer Nature, 2020.
Publication Year:
2020
Collection:
Books
Imported or submitted locally
Original Material:
6c6992af-b843-4f46-859c-f6e9998e40d5
Subject Terms:
Medicine, Biomedical engineering, Cell biology, Bioinformatics, Biology—Technique, Systems biology, Biological systems, Textbook, Biology, life sciences, Life sciences: general issues, Cellular biology (cytology)
Document Type:
E-Book book
File Description:
application/pdf
Language:
English
ISBN:
978-3-030-22386-1
3-030-22386-8
Relation:
Learning Materials in Biosciences
DOI:
10.1007/978-3-030-22386-1
Access URL:
http://library.oapen.org/handle/20.500.12657/23026
Rights:
URL: https://creativecommons.org/licenses/by/4.0
Notes:
1007135

OCN: 1124957676

http://library.oapen.org/handle/20.500.12657/23026

https://www.springer.com/9783030223861
Accession Number:
edsoap.20.500.12657.23026
Database:
OAPEN Library

Weitere Informationen

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.