Workshop
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Mini-symposium on AI for Microscopy

Symposium organised by the CHAIR theme AI for Scientific Data Analysis.

Overview

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This mini-symposium on AI in microscopy, organized on the occasion of Jesús Pineda’s PhD defense, brings together perspectives on the promises and limitations of AI while exploring emerging directions for the field.

Invited Speakers:

Anna Kreshuk, EMBL Heidelberg
Daniel Sage, EPFL
Juliette Griffié, SciLifeLab and Stockholm University

Schedule:

13:10 – 13:15 : Introduction and welcome
13:15 – 14:00 : Anna Kreshuk
14:00 – 14:45 : Daniel Sage
14:45 – 15:15 : Fika
15:15 – 16:00 : Juliette Griffié
16:00 – ~17 : Discussion and Networking

Presentations:

Anna Kreshuk: Making ML for microscopy more accessible
Juliette Griffié: Interpretable machine learning for microscopy images
Daniel Sage: Single-Molecule Diffusion – From Analytical to Learning Methods

 

AI for Scientific Data Analysis

This theme is about utilizing the power of AI as a tool for scientific research. AI can be applied to, and potentially speed up, discovery and utilization in a variety of research disciplines, such as microscopy, physics, biology, chemistry, and astronomy.