Explore
Bioimage Data Analysis Workflows ‒ Advanced Components and Methods
0 Ungluers have
Faved this Work
Login to Fave
This open access textbook aims at providing detailed explanations on how to design and construct image analysis workflows to successfully conduct bioimage analysis. Addressing the main challenges in image data analysis, where acquisition by powerful imaging devices results in very large amounts of collected image data, the book discusses techniques relying on batch and GPU programming, as well as on powerful deep learning-based algorithms. In addition, downstream data processing techniques are introduced, such as Python libraries for data organization, plotting, and visualizations. Finally, by studying the way individual unique ideas are implemented in the workflows, readers are carefully guided through how the parameters driving biological systems are revealed by analyzing image data. These studies include segmentation of plant tissue epidermis, analysis of the spatial pattern of the eye development in fruit flies, and the analysis of collective cell migration dynamics. The presented content extends the Bioimage Data Analysis Workflows textbook (Miura, Sladoje, 2020), published in this same series, with new contributions and advanced material, while preserving the well-appreciated pedagogical approach adopted and promoted during the training schools for bioimage analysis organized within NEUBIAS – the Network of European Bioimage Analysts. This textbook is intended for advanced students in various fields of the life sciences and biomedicine, as well as staff scientists and faculty members who conduct regular quantitative analyses of microscopy images.
This book is included in DOAB.
Why read this book? Have your say.
You must be logged in to comment.
Rights Information
Are you the author or publisher of this work? If so, you can claim it as yours by registering as an Unglue.it rights holder.Downloads
This work has been downloaded 22 times via unglue.it ebook links.
- 22 - pdf (CC BY) at OAPEN Library.
Keywords
- Analytical Chemistry
- Analyzing Image Data in Biology
- Biology, Life Sciences
- Building a Bioimage Analysis Workflow
- Cellular biology (cytology)
- Chemistry
- Chosing the Correct Components for Given Biological Questions
- computational analysis
- Data Handling and Plotting
- deep learning
- fast computation
- GPU-Acceleration
- Handling Biological data
- Machine learning
- Mathematics & science
- Molecular biology
- Phyton
- Processing Language
- thema EDItEUR::P Mathematics and Science::PN Chemistry::PNF Analytical chemistry
- thema EDItEUR::P Mathematics and Science::PS Biology, life sciences
- thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSD Molecular biology
- thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSF Cellular biology (cytology)
- Understanding Bioimage Analysis Software
Links
DOI: 10.1007/978-3-030-76394-7Editions