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  • Textbook
  • Open Access
  • © 2020

Bioimage Data Analysis Workflows

  • Wins readers over with its highly practical approach, instead of using too much theory

  • Provides non-experts with the know-how to perform image analyses on their own

  • A valuable asset for diverse groups in the life sciences and biomedicine

Part of the book series: Learning Materials in Biosciences (LMB)

Buying options

Softcover Book USD 59.99
Price excludes VAT (USA)

Table of contents (6 chapters)

  1. Front Matter

    Pages I-X
  2. Workflows and Components of Bioimage Analysis

    • Kota Miura, Perrine Paul-Gilloteaux, Sébastien Tosi, Julien Colombelli
    Pages 1-7Open Access
  3. 3D Quantitative Colocalisation Analysis

    • Fabrice P. Cordelières, Chong Zhang
    Pages 33-66Open Access
  4. The NEMO Dots Assembly: Single-Particle Tracking and Analysis

    • Jean-Yves Tinevez, Sébastien Herbert
    Pages 67-96Open Access
  5. Introduction to MATLAB

    • Simon F. Nørrelykke
    Pages 97-141Open Access
  6. Back Matter

    Pages 167-170

About this book

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.

The textbook is chiefly intended for advanced undergraduates in the life sciences and biomedicine without a theoretical background in data analysis, as well as for postdocs, staff scientists and faculty members who need to perform regular quantitative analyses of microscopy images.


  • Bioimaging
  • Bioimage Analysis
  • ImagJ
  • Imaging for Biologists
  • Learning Scripting Language
  • Matlab
  • Microscopy Images
  • Python
  • Quantitative Analysis
  • Quantitative Microscopy
  • Open Access

Editors and Affiliations

  • Im Neuenheimer Feld 267, Nikon Imaging Center Bioquant BQ 0004, Heidelberg, Germany

    Kota Miura

  • Department of Information Technology, Centre for Image Analysis, Uppsala University, Uppsala, Sweden

    Nataša Sladoje

About the editors

Dr. Kota Miura is a Bioimage Data Analyst and works with various research groups at the EMBL in Heidelberg, Germany. He is also Vice Chair of NEUBIAS (the Network of European Bioimage Analysts).


Natasa Sladoje is an Associate Professor at the Centre for Image Analysis, Department of Information Technology at Uppsala University in Sweden and a Professor at the Faculty of Technical Sciences, University of Novi Sad, in Serbia. She is also an Associate Research Professor at the Mathematical Institute of the Serbian Academy of Sciences and Arts.


Bibliographic Information

Buying options

Softcover Book USD 59.99
Price excludes VAT (USA)