Bioimage Data Analysis Workflows

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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: 三浦, 耕太, Sladoje, Nataša
Format: E-Book Buch
Sprache:Englisch
Veröffentlicht: Cham Springer Nature 2019
Springer
Springer International Publishing AG
Ausgabe:1
Schriftenreihe:Learning Materials in Biosciences
Schlagworte:
Bioimage Analysis
Bioimaging
Bioinformatics
Biological systems
Biology, life sciences
Biology—Technique
Biomedical engineering
Cell biology
Cellular biology (cytology)
Chemical and related technologies
Computerized Image Processing
Datoriserad bildbehandling
Electron microscopy
ImageJ
Imaging for Biologists
Learning Scripting Language
Life sciences: general issues
Mathematics and Science
Matlab
Medicine
Medicine and Nursing
Microscopy > Technique
Microscopy Images
Nursing and ancillary services
Open Access
Python
Quantitaive Analysis Quantitative Microscopy
Systems biology
Textbook
ISBN:3030223868, 9783030223861, 303022385X, 9783030223854
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung: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.
Bibliographie:"COST, neubias"--P. [1] of cover
Includes bibliographical references and index
ISBN:3030223868
9783030223861
303022385X
9783030223854
DOI:10.1007/978-3-030-22386-1