J. Shepard Bryan

This paper infers binding and unbinding rates from fluorescence time series while accounting for photobleaching using a two-stage Bayesian approach.

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.

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