Overview
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Course overview
Bioimage analysis is a cornerstone of modern biological research, as advanced microscopy produces complex data requiring expert guidance to ensure accurate, quantitative results.
This course addresses this need by focusing on cutting-edge concepts and tools for quantitative image analysis, including OME-Zarr-based data management, AI and natural language processing, 3D segmentation, image registration, and research integrity in AI.
Addressing the rapidly increasing size of data, a session will also be dedicated to image data management and standardization. The course will also highlight the trend of establishing data science service units in leading research institutions, and the best practice in training relevant to service-oriented bioimage analysts.
Audience
Designed for early-career scientists and facility staff.
Learning outcomes
Through hands-on practical sessions, pre-recorded lectures, flashtalks, poster sessions, and collaborative networking, it aims to upgrade the competencies of bioimage analysts—both theoretically and practically—while strengthening professional networks.
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:
Sponsors
Sponsorship opportunities
We offer a variety of event sponsoring possibilities, with the flexibility to select a set sponsorship package or combine individual sponsorship options to suit your event budget. Discounts are available for companies sponsoring multiple events at EMBL Heidelberg. View other conferences, or contact sponsorship@embl.org. for further information.
If you are interested in becoming a media partner of this event, please visit our media partnerships webpage.
Warning
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Media kit
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Date: 24 - 29 Oct 2027
Location: EMBL Heidelberg and Virtual
Venue: EMBL Advanced Training Centre
Organisers:
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Ignacio Arganda-Carreras
University of the Basque Country (UPV/EHU), Spain -
Anna Klemm
SciLifeLab & Uppsala University, Sweden -
Perrine Paul-Gilloteaux
University of Nantes, France -
Christian Tischer
EMBL Heidelberg, Germany
Contact: EMBL Events