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Title
Bioimage data analysis workflows / Kota Miura, Nataša Sladoje, editors.
ISBN
9783030223861 (electronic book)
3030223868 (electronic book)
9783030223854
Published
Cham : Springer, 2020.
Language
English
Description
1 online resource (x, 170 pages) : illustrations.
Item Number
10.1007/978-3-030-22386-1 doi
10.1007/978-3-030-22
Call Number
QH207
Dewey Decimal Classification
570.28/2
Summary
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.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed October 25, 2019).
Series
Learning materials in biosciences.
Workflows and Components of Bioimage Analysis
Measurements of Intensity Dynamics at the Periphery of the Nucleus
3D Quantitative Colocalisation Analysis
The NEMO Dots Assembly: Single-Particle Tracking and Analysis
Introduction to MATLAB: Image Analysis & Brownian Motion
Resolving the process of Clathrin Mediated Endocytosis Using Correlative Light & Electron Microscopy (CLEM).
