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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| Format: | Ebooks |
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Springer Nature,
2020.
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| Online Access: | Get Fulltext |
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| 245 | 0 | 0 | |a Bioimage Data Analysis Workflows |
| 260 | |b Springer Nature, |c 2020. | ||
| 500 | |a http://oer.library.unej.ac.id//index.php?p=show_detail&id=2674 | ||
| 500 | |a 610 | ||
| 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. | ||
| 546 | |a en | ||
| 690 | |a Medicine (General) | ||
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