Bioimage Data Analysis Workflows ‒ Advanced Components and Methods

• Tác giả khác: Miura, Kota (Biên tập viên), Sladoje, Nataša (Biên tập viên)
• Định dạng: Điện tử Chương của sách
• Ngôn ngữ: Tiếng Anh
• Được phát hành: Cham Springer Nature 2022
• Loạt: Learning Materials in Biosciences
• Những chủ đề: Cellular biology (cytology); Molecular biology; Analytical chemistry; Biology, life sciences; Analyzing Image Data in Biology; Building a Bioimage Analysis Workflow; Computational Analysis; Chosing the Correct Components for Given Biological Questions; Data Handling and Plotting; Deep Learning; Fast Computation; GPU-Acceleration; Handling Biological data; Machine Learning; Phyton; Processing Language; Understanding Bioimage Analysis Software
• Truy cập trực tuyến: OAPEN Library: download the publication; OAPEN Library: description of the publication

Tóm tắt

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.

Mô tả vật lý

1 electronic resource (212 p.)

số ISBN

978-3-030-76394-7
9783030763947

Truy cập

Open Access