Lectures and seminars Histocore: From Spots to Insights: AI-based Image Analysis of RNAscope Data in Visiopharm
With Niklas Peterson, Visiopharm
Niklas Petersen is a trusted expert in digital pathology and image analysis, helping researchers and clinicians unlock the full potential of AI-powered workflows. At Visiopharm, he specializes in translating complex spatial biology data into clear, actionable insights—whether through intuitive demos, tailored consultations, or hands-on collaborations.
With a passion for making high-tech approachable, Niklas is the go-to person for turning tissue images into meaningful data—one cell at a time.
Quantifying RNA in tissue sections is critical for understanding disease mechanisms, particularly in cancer research and diagnostics. However, translating RNA signals into meaningful biological insights can be challenging. Staining inconsistencies, overlapping cells, and signal ambiguity often complicate analysis — especially when high precision is required.
In this seminar, we will demonstrate how Visiopharm’s AI-powered image analysis platform enables robust and reproducible analysis of RNAscope data. By incorporating both nuclear and membrane stains, our platform goes beyond traditional nucleus-based segmentation to accurately identify individual cells, even in complex environments such as tumor microenvironments or densely packed tissues.
Join us to see how advanced AI models can help overcome the limitations of manual interpretation and transform scattered RNA "spots" into high-quality spatial data — unlocking deeper insights into cell-level expression, localization, and disease biology.
Workshop: Visiopharm Image Analysis
Time: 1 pm - 2.20 pm
Place: Biomedicum Room: C0333
Live Demo at the Workshop
Bring your challenges and image analysis questions! We’ll host a live demo to show how you can maximize your output using Visiopharm’s flexible platform.
You’ll also get hands-on exposure to Visiopharm’s interactive data exploration and plotting tools. These include t-SNE, scatter and box plots, co-occurrence matrices, and cell galleries—all tightly integrated into the workflow. These tools let you explore cellular phenotypes visually, adjust thresholds in real time, and link every plotted data point back to its corresponding cell in the image for quick QC and verification
Bonus: One participant will be selected as a winner during the workshop — and receive a personalized deep-dive session on their data.
Deadline for abstract submission: October 13
Submit Your Abstract — and Get 2–3 Images analysed by Niklas!
Working with RNAscope, IHC, or multiplexed tissue data? Submit your abstract for a chance to win a personalized image analysis session with Niklas Petersen.
Using Visiopharm’s AI-powered tools, Niklas will demonstrate how to transform your data into meaningful, quantitative insights — tailored to your specific challenges.
Spots become science — let’s make your data shine!