國立虎尾科技大學 |

Bioimage Data Analysis Workflows

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Bioimage Data Analysis Workflows/ edited by Kota Miura, Nataša Sladoje.
其他作者:	Sladoje, Nataša.
面頁冊數:	X, 170 p. 69 illus., 58 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Systems Biology. -
電子資源:	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, Nataša Sladoje. - 1st ed. 2020. - X, 170 p. 69 illus., 58 illus. in color.online resource. - Learning Materials in Biosciences,2509-6125. - Learning Materials in Biosciences,1.

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:

683756
Systems Biology.

LC Class. No.: R856-R857

Dewey Class. No.: 610.28

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