AI for analysis of microscopy data – powers and pitfalls
September 18, 2026 @ 10:00 – 11:00 CEST
Carolina Wählby
NBIS and SciLifeLab Data Centre arrange an open SciLifeLab AI Seminar Series aimed at knowledge-sharing about Artificial Intelligence and applications in the Life Science community. The seminar series is open to everyone. The seminar is run over Zoom on the third Friday of the month during academic terms, typically between 10 and 11 am, with approx. 45 min presentation and 15 min discussion.
When: September 18, 10:00-11:00
Where: Zoom http://meet.nbis.se/ainw
Speaker: Carolina Wählby
Professor of Quantitative Microscopy, SciLifeLab and Dept. IT, Uppsala University
Abstract
We see every day improvements in the abilities of AI models to extract information, answer questions, and produce human-comprehensible summaries of large amounts of data.
But how do we ensure scientific rigor, and how do we know if we can trust the results?
My research is focused on digital image processing and analysis, primarily for applications in life science, at the microscopy scale. This ranges from efficient approaches to decoding in spatial transcriptomics data to detecting signs of malignancies in digital pathology data. I will talk about the developments in the field, the powers and the pitfalls of the new technologies, and the strategies I believe in when striving to maintain a scientific approach, rather than simply leaning back expecting the AI to do the science for us. Many of the examples will also come from the work done within the SciLifeLab BioImage Informatics Unit of NBIS (BIIF).
To stay updated, you can join our email list by contacting ai-network@scilifelab.se.
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