European Conference on Mathematical and Theoretical Biology (ECMTB 2026)

Generative models for particle tracking microscopy

MS156-04

16 Jul 2026, 18:00

20m

15.06 - HS (University of Graz)

Minisymposium Talk Numerical, Computational, and Data-Driven Methods Stochastic Dynamics and the Realities of Experimental Observation

Speaker

Jay Newby (University of Alberta)

Description

I will discuss the use of diffusion models for particle tracking microscopy images. The goal is to have a fully integrated generative model that connects stochastic models of particle motion to microscopy image data. Unfortunately, the observation likelihood function is too complex to explicitly model, and we do not know this function. Learning the likelihood function from a suitably large image set is the primary purpose of so-called diffusion models. We discuss the application of these neural network models for evaluating the log likelihood of image sets given particle positions.