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Bioimage Data Analysis Workflows [[electronic resource] /] / edited by Kota Miura, Nataša Sladoje



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Autore: Miura Kota Visualizza persona
Titolo: Bioimage Data Analysis Workflows [[electronic resource] /] / edited by Kota Miura, Nataša Sladoje Visualizza cluster
Pubblicazione: Cham, : Springer Nature, 2020
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Edizione: 1st ed. 2020.
Descrizione fisica: 1 online resource (170)
Disciplina: 610.28
Soggetto topico: Biomedical engineering
Cell biology
Bioinformatics
Biology—Technique
Systems biology
Biological systems
Biomedical Engineering/Biotechnology
Cell Biology
Computational Biology/Bioinformatics
Biological Techniques
Systems Biology
Soggetto non controllato: Medicine
Biomedical engineering
Cell biology
Bioinformatics
Biology—Technique
Systems biology
Biological systems
Persona (resp. second.): MiuraKota
SladojeNataša
Nota di contenuto: 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).
Sommario/riassunto: 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.
Titolo autorizzato: Bioimage Data Analysis Workflows  Visualizza cluster
ISBN: 3-030-22386-8
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910367258203321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Serie: Learning Materials in Biosciences, . 2509-6125