EAN: 9783030763930

LEARNING MATERIALS IN BIOSCIENCES BIOIMAGE DA...

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.

Aktuelle Preise zur EAN 9783030763930

Produktinformationen zur 9783030763930