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Bioimage data analysis workflows

Miura, Kota.

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Bioimage data analysis workflows

Record Type:	Electronic resources : Monograph/item
Title/Author:	Bioimage data analysis workflows/ edited by Kota Miura, Natasa Sladoje.
other author:	Miura, Kota.
Published:	Cham :Springer International Publishing : : 2020.,
Description:	x, 170 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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)
Contained By:	Springer eBooks
Subject:	Microscopy - Technique. -
Online resource:	https://doi.org/10.1007/978-3-030-22386-1
ISBN:	9783030223861

Bioimage data analysis workflows
Bioimage data analysis workflows[electronic resource] /edited by Kota Miura, Natasa Sladoje. - Cham :Springer International Publishing :2020. - x, 170 p. :ill. (some col.), digital ;24 cm. - Learning materials in biosciences,2509-6125. - 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)

Open access.

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.

ISBN: 9783030223861

Standard No.: 10.1007/978-3-030-22386-1doiSubjects--Topical Terms:

600574
Microscopy
--Technique.

LC Class. No.: QH207

Dewey Class. No.: 570.282

Bioimage data analysis workflows
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245 0 0 $a Bioimage data analysis workflows $h [electronic resource] / $c edited by Kota Miura, Natasa Sladoje.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a x, 170 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Learning materials in biosciences, $x 2509-6125
505 0 $a 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)
506 $a Open access.
520 $a 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.
650 0 $a Microscopy $x Technique. $3 600574
650 0 $a Electron microscopy. $3 598915
650 1 4 $a Biomedical Engineering/Biotechnology. $3 2162071
650 2 4 $a Cell Biology. $3 892383
650 2 4 $a Computational Biology/Bioinformatics. $3 898313
650 2 4 $a Biological Techniques. $3 900035
650 2 4 $a Systems Biology. $3 928020
700 1 $a Miura, Kota. $3 3444249
700 1 $a Sladoje, Natasa. $3 3444250
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Learning materials in biosciences. $3 3135860
856 4 0 $u https://doi.org/10.1007/978-3-030-22386-1
950 $a Biomedical and Life Sciences (Springer-11642)