國立高雄大學圖資館 |

Language: English

Back

Bioimage data analysis workflows

Miura, Kota.

Bioimage data analysis workflows

Record Type:	Electronic resources : Monograph/item
Title/Author:	Bioimage data analysis workflowsedited 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.
Contained By:	Springer eBooks
Subject:	MicroscopyTechnique.
Online resource:	https://doi.org/10.1007/978-3-030-22386-1
ISBN:	9783030223861$q(electronic bk.)

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$q(electronic bk.)

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

229365
Microscopy
--Technique.

LC Class. No.: QH207

Dewey Class. No.: 570.282

Bioimage data analysis workflows
LDR:02331nmm a2200349 a 4500 001 576610
003 DE-He213
005 20200225165632.0
006 m d
007 cr nn 008maaau
008 201120s2020 sz s 0 eng d
020 $a 9783030223861$q(electronic bk.)
020 $a 9783030223854$q(paper)
024 7 $a 10.1007/978-3-030-22386-1 $2 doi
035 $a 978-3-030-22386-1
040 $a GP $c GP
041 0 $a eng
050 4 $a QH207
072 7 $a MQW $2 bicssc
072 7 $a MED003040 $2 bisacsh
072 7 $a MQW $2 thema
082 0 4 $a 570.282 $2 23
090 $a QH207 $b .B615 2020
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 229365
650 0 $a Electron microscopy. $3 189038
650 1 4 $a Biomedical Engineering/Biotechnology. $3 730838
650 2 4 $a Cell Biology. $3 274165
650 2 4 $a Computational Biology/Bioinformatics. $3 274833
650 2 4 $a Biological Techniques. $3 276128
650 2 4 $a Systems Biology. $3 245824
700 1 $a Miura, Kota. $3 864724
700 1 $a Sladoje, Natasa. $3 864725
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Learning materials in biosciences. $3 759760
856 4 0 $u https://doi.org/10.1007/978-3-030-22386-1
950 $a Biomedical and Life Sciences (Springer-11642)