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Advanced methods in bioimage analysis – Course and Conference Office

EMBO Practical Course

Advanced methods in bioimage analysis

Overview

This course will take place at EMBL Heidelberg, with the option to attend virtually.

Course overview

Bioimage analysis has become a keystone of biological research: the deluge of data produced by increasingly advanced microscopes calls for experts able to guide life scientists in the methods and software to be used to produce quantitative knowledge from this data. Due to the complexity of the data, without such expert guidance, it is very likely that image analysis algorithms may be applied incorrectly, possibly even producing erroneous results. Moreover, the diversity of imaging modalities, analysis algorithms and software solutions is growing so rapidly that even experts are overwhelmed.

This advanced course concentrates on teaching cutting-edge concepts and tools for quantitative image analysis and will seek to upgrade the competencies of future bioimage analysis experts on both theoretical algorithm advancements as well as on practical implementation skills.

Audience

This course is aimed at early-career scientists and staff scientists working in microscopy or image analysis facilities who already have experience in bioimage analysis. Moreover, participants should already provide or show a clear intent of providing bioimage analysis support to other researchers with less or no experience in bioimage analysis.

In selecting participants we look for scientific excellence, immediate application of the methods learned, motivation to disseminate and networking skills. We expect a solid background in bioimage analysis and at least basic programming skills.

Modules/resources

  • Image analysis workflow and data management
  • Using AI and natural language processing for image analysis
  • Cells and particles tracking
  • Spatial statistics and omics integration
  • Deep learning for bioimage analysis
  • Image-based behaviour modeling
  • Spatial modeling and shape analysis
  • Open science, reproducible research and women in science

Learning outcomes

For each module, participants will learn both theoretical and practical aspects of the latest developments in the fields of bioimage analysis concepts and tools. After this course, participants are expected to be able to confidently operate and interface with a representative selection of open and closed-source image analysis software. Participants should be able to apply what they have learnt to their own image data as well as to image data of their colleagues.

What past participants say about the course

“The EMBL practical course on Advanced Methods in Bioimage Analysis represents a turning point in my career. As a Ph.D. student, having the opportunity to meet, network, and learn with the most experienced researchers in this topic changed how I analyze my images and speed up my image analysis workflows.”

– Fernanda Garcia Fossa, Institute of Biology, University of Campinas


This event has been granted the following EMBO sustainability badge:

Grade 3 of 3

Date: 14 - 19 Sep 2025

Location: EMBL Heidelberg and Virtual

Venue: EMBL Advanced Training Centre


Deadline(s):

Application: 4 Jun 2025


Organisers:

  • Ignacio Arganda-Carreras
    University of the Basque Country (UPV/EHU), Spain

EMBL Courses and Conferences are kindly supported by our Corporate Partnership Programme

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