Bioimage data analysis workflows / Kota Miura, Natasa Sladoje, editors ; COST, European Cooperation in Science and Technology, NEUBIAS, Network of European Bioimage Analysts.
Material type: TextSeries: Learning materials in biosciencesPublication details: Cham, Switzerland : Springer, 2020.Description: ix, 170 pages : many illustrations (chiefly color) ; 24 cmContent type:- text
- unmediated
- volume
- 9783030223854
- 303022385X
- QH207.M587.B565 2020
- COPYRIGHT NOT covered - Click this link to request copyright permission: https://lib.ciu.edu/copyright-request-form
Item type | Current library | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|
Circulating Book (checkout times vary with patron status) | G. Allen Fleece Library Nursing - beside IT Help desk on first floor | QH207.M587.B565 2020 (Browse shelf(Opens below)) | Available | 31923002064190 |
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 and Brownian Motion -- Resolving the process of Clathrin Mediated Endocytosis Using Correlative Light and Electron Microscopy (CLEM).
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.
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