J. S. Bryan

Approaching Maximum Resolution in Structured Illumination Microscopy via Accurate Noise Modeling

This paper introduces B-SIM, an unsupervised Bayesian framework for structured illumination microscopy that improves resolution and contrast by accurately modeling noise, outperforming existing methods in both simulated and experimental data.

Learning Continuous 2D Diffusion Maps from Particle Trajectories without Data Binning

The paper develops a Bayesian method using Gaussian Processes to map diffusion coefficients continuously across membranes from particle trajectories without data binning.

Learning Continuous Potentials from smFRET

This paper introduces SKIPPER-FRET, a method to infer continuous potential energy landscapes from smFRET data, outperforming HMM approaches by providing barrier heights and friction coefficients.

Diffraction-Limited Molecular Cluster Quantification with Bayesian Nonparametrics

This paper introduces a Bayesian nonparametric method to count fluorophores and track their photophysical states from time traces, applicable to both fluorescent and photoactivated localization microscopy.