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Bioimage Data Analysis Workflows

✍ Scribed by Kota Miura, Nataša Sladoje

Publisher
Springer International Publishing
Year
2020
Tongue
English
Leaves
178
Series
Learning Materials in Biosciences
Edition
1st ed. 2020
Category
Library
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✦ Synopsis

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.


✦ Table of Contents

Front Matter ....Pages I-X
Workflows and Components of Bioimage Analysis (Kota Miura, Perrine Paul-Gilloteaux, Sébastien Tosi, Julien Colombelli)....Pages 1-7
Measurements of Intensity Dynamics at the Periphery of the Nucleus (Kota Miura)....Pages 9-32
3D Quantitative Colocalisation Analysis (Fabrice P. Cordelières, Chong Zhang)....Pages 33-66
The NEMO Dots Assembly: Single-Particle Tracking and Analysis (Jean-Yves Tinevez, Sébastien Herbert)....Pages 67-96
Introduction to MATLAB (Simon F. Nørrelykke)....Pages 97-141
Resolving the Process of Clathrin Mediated Endocytosis Using Correlative Light and Electron Microscopy (CLEM) (Martin Schorb, Perrine Paul-Gilloteaux)....Pages 143-166
Back Matter ....Pages 167-170

✦ Subjects

Biomedicine; Biomedical Engineering/Biotechnology; Cell Biology; Computational Biology/Bioinformatics; Biological Techniques; Systems Biology

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