IASNM Radiant Flashpoints Educational Web-Series – August 2, 2025
Speaker: Dr. J. Sebastian Raja, Ph.D.
Biophysics/Cell Biology (Advanced Fluorescence Imaging technique development)
Applications Manager at Leica Microsystems
Topic: Automated Image Analysis and Visualisation for High-Resolution Cell Biology Using AI
Objective 1 Understand the principles of AI-based image analysis, including deep learning approaches (e.g., segmentation and classification) used to extract meaningful biological information from high-resolution microscopy images.
Example outcome: Students should be able to explain why and how AI improves accuracy and speed over traditional manual or rule-based analysis.
Objective 2 Apply AI tools and pipelines to automatically process and visualize large-scale cell biology image datasets, transforming raw microscopy data into interpretable results (e.g., 3D renderings, quantitative feature maps).
Example outcome: Participants should be able to run an end-to-end workflow: from raw images → AI-based segmentation → visualization.
Objective 3 Evaluate the benefits and limitations of automated AI image analysis in cell biology, including challenges like data quality, model training bias, and explainability.
Example outcome: Learners can critically assess when AI methods are appropriate and what validation steps are necessary to trust the analysis The session will include a few important examples from cancer and other cell biology images to explain the significance of AI-based image analysis.
Dr. Sebastian plans to use AIVIA image analysis software (https://www.aivia-software.com/aivia15) as a tool to illustrate the objectives above.
