The Stakeholder Meetings are a series of afternoon meetings, where software producers, microscope facilities, and life scientists discuss common goals and needs.
At the previous meeting, we discussed whether life scientists should learn to program. In this meeting, we will explore the industry perspectives of using AI in biodata analysis.
This Stakeholder Meeting will be held in connection with Danish BioImaging Network’s annual scientific symposium but we kindly ask you to sign up for the Stakeholder Meeting separately.
The agenda will include presentations by speakeres from the companies below, followed by an open discussion among all participants:
We invite researchers, companies and facilities in the field of biodata analysis to share their experiences and views on how we can work together for better science and innovation in the field.
Follow this link to share meeting notes in Miro:
Keynote speaker: Kirstine Roepstorff, Director of Pathology & Imaging, Novo Nordisk
AI-based image analysis is expected to revolutionize pathology. To enable development of AI-based image analysis algorithms, access to a large number of pathology images with associated metadata is needed.
That is the challenge the Bigpicture project is taking up. The project aims to address four main aspects: establishing infrastructure for storing and processing large pathology image datasets, ensuring legal and ethical compliance regarding patient data privacy, collecting an initial dataset of 3 million digital slides, and implementing functionalities for easier repository use and image processing. Ultimately, this may lead to significant efficiency gains, increased disease understanding, and eventually new treatment approaches. Novo Nordisk will present their perspective on these aspects during the project presentation.
Liam Feltham, PhD European Applications Scientist – Imaging Molecular Devices
Integrating artificial intelligence (AI) into image analysis can overcome challenges faced by classical image analysis pipelines. These tools can be used to segment label-free cells/organoids and to perform phenotypical classification based on multiple analysis parameters, some of which may not be easily identifiable by the human eye.
This talk will explore how Molecular Devices machine learning-based segmentation (SINAP) and classification tools (Phenoglyphs) are designed to be used by any biologist – even those without previous experience with machine learning. This approach will be showcased by demonstrating the segmentation and classification of label-free, drug-treated organoids in a high-throughput manner.
Empowering biologists with easy-to-use access to these tools will help to advance disease research and drug discovery.
Maria Bach Nielsen, Senior Project Manager, Techno-Anthropologist & Industrial PhD Fellow, Cerebriu
Maria Bach Nielsen will explore the pivotal role of trust in deploying and adopting AI technologies within clinical and preclinical settings. The talk will delve into the essential aspects of establishing and maintaining trust in AI applications for Neurology and Radiology, highlighting bespoke pilot strategies and more.
The meeting is organised by the Alexandra Institute in collaboration with Danish BioImaging Network (DBI) and Center for Quantification of Imaging Data from MAX IV (QIM).
KIRSTINE ROEPSTORFF
Director of Pathology & Imaging
Novo Nordisk
LIAM FELTHAM
PhD European Applications Scientist – Imaging
Molecular Devices
MARIA BACH NIELSEN
Senior Project Manager, Techno-Anthropologist & Industrial PhD Fellow
Cerebriu
Jon Sporring
Professor, PhD
Department of Computer Science
University of Copenhagen
+45 24 25 23 34
sporring@di.ku.dk
Emily Holm Jacobsen
Anthropologist
Alexandra Institute
+45 60 52 39 89
emily.jacobsen@alexandra.dk
Sif Bernstorff Lehmann
Anthropologist
Alexandra Institute
+45 60 18 58 69
sif.lehmann@alexandra.dk
Katrine Hommelhoff Jensen
Principal Visual Computing Engineer, PhD
Alexandra Institute
+45 26 28 27 98
katrine.hommelhoff@alexandra.dk
At the first Stakeholder Meeting, we discussed opportunities and shared experiences and views on how we can work together for better science and innovation in the field of bioimage analysis.
Read more
At the second Stakeholder Meeting, we discussed how to shape a software environment that easily integrates the skills of the programmers, people with image problems, researchers, and companies.
Read more
At the third Stakeholder Meeting, we discussed whether scientists using biodata analysis for their research need to learn how to program in order to quantitatively analyse their data.
Read more
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