Bioimage Data Analysis Workflows
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...
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| Other Authors: | , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2020.
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| Edition: | 1st ed. 2020. |
| Series: | Learning Materials in Biosciences,
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| Subjects: | |
| Online Access: | Link to Metadata |
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| 245 | 1 | 0 | |a Bioimage Data Analysis Workflows |h [electronic resource] / |c edited by Kota Miura, Nataša Sladoje. |
| 250 | |a 1st ed. 2020. | ||
| 264 | 1 | |a Cham : |b Springer International Publishing : |b Imprint: Springer, |c 2020. | |
| 300 | |a X, 170 p. 69 illus., 58 illus. in color. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 490 | 1 | |a Learning Materials in Biosciences, |x 2509-6133 | |
| 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 | 0 | |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 Biotechnology. | |
| 650 | 0 | |a Cytology. | |
| 650 | 0 | |a Bioinformatics. | |
| 650 | 0 | |a Biology |x Technique. | |
| 650 | 1 | 4 | |a Biotechnology. |
| 650 | 2 | 4 | |a Cell Biology. |
| 650 | 2 | 4 | |a Computational and Systems Biology. |
| 650 | 2 | 4 | |a Biological Techniques. |
| 700 | 1 | |a Miura, Kota. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Sladoje, Nataša. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783030223854 |
| 776 | 0 | 8 | |i Printed edition: |z 9783030223878 |
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| 950 | |a Biomedical and Life Sciences (SpringerNature-11642) | ||
| 950 | |a Biomedical and Life Sciences (R0) (SpringerNature-43708) | ||