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blogtng:2025-05-19:bioimage_analysis_advanced_components_and_workflows

Bioimage Data Analysis Workflows ‒ Advanced Components and Methods

https://link.springer.com/book/10.1007/978-3-030-76394-7#toc

Since 2022, the third book from the NEUBIAS network has been available, with open access to all chapters. Enjoy!

Contents:

  • Introduction (Nataša Sladoje and Kota Miura)
  • Batch Processing Methods in ImageJ (Anna Klemm and Kota Miura)
  • Python: Data Handling, Analysis and Plotting (Arianne Bercowsky Rama)
  • Building a Bioimage Analysis Workflow Using Deep Learning (Estibaliz Gómez-de-Mariscal, Daniel Franco- Barranco, Arrate Muñoz-Barrutia and Ignacio Arganda-Carreras)
  • GPU-Accelerating ImageJ Macro Image Processing Workflows Using CLIJ (Daniela Vorkel and Robert Haase)
  • How to Do the Deconstruction of Bioimage Analysis Workflows: A Case Study with SurfCut. (Marion Louveaux and Stéphane Verger)
  • i.2.i. with the (Fruit) Fly: Quantifying Position Effect Variegation in Drosophila Melanogaster (Bertrand Cinquin, Joyce Y. Kao and Mark L. Siegal)
  • A MATLAB Pipeline for Spatiotemporal Quantification of Monolayer Cell Migration (Yishaia Zabary and Assaf Zaritsky)

Comments

blogtng/2025-05-19/bioimage_analysis_advanced_components_and_workflows.txt · Last modified: 2025/05/19 09:28 by kota

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