Steve Pressé

Biased stochastic motor dynamics drive bidirectional, processive translocation by the AAA+ disaggregase Hsp104.

This study reveals that Hsp104, an AAA+ ATPase, functions as a bidirectional, processive translocase by switching direction through biased stochastic conformational transitions.

Resolving FRET Signal Degeneracy and Population Heterogeneity via Bayesian Nonparametrics

This paper introduces BNP-FRET-Bin to resolve FRET signal degeneracy and population heterogeneity by inferring state numbers and kinetics directly from FRET data, revealing new biologically relevant states.

Stochastic colonization and host-to-host transmission shape gut bacterial variability

This study shows that stochastic colonization and host-to-host transmission significantly influence gut bacterial variability in C. elegans using E. coli under different diets.

GPU-accelerated, self-optimizing processing for 3D multiplexed iterative RNA-FISH experiments

This paper introduces a GPU-accelerated framework for processing 3D multiplexed RNA-FISH data, quantifies information loss from axial sampling, and improves post-mortem sample quality.

Highly multiplexed spectral FLIM via physics informed data analysis

This paper introduces a Bayesian S-FLIM framework that learns spectra and lifetimes photon-by-photon, enabling efficient deconvolution of up to 9 fluorophore species with overlapping spectra.

Multi-axial DNA origami force spectroscopy unlocks conformational dynamics hidden under single-axial tension

The paper introduces MAESTRO, a multi-axial force application method, revealing hidden conformational dynamics in Holliday junctions under complex mechanical environments.

Particle Tracking for Quantized Intensities Accelerated with Parallelism

QTrack improves particle tracking by directly modeling quantized photon detections, achieving faster and more accurate results than traditional methods.

Bayesian Inference of Binding Kinetics from Fluorescence Time Series

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

Accurate tracking of lytic granules via simultaneous particle tracking, phase retrieval and point spread function reconstruction

This paper develops a framework for simultaneous particle tracking, phase retrieval, and PSF reconstruction to improve 3D tracking of lytic granules in T cells.

Bayesian nonparametric analysis of residence times for protein-lipid interactions in Molecular Dynamics simulations

The paper uses Bayesian nonparametric methods to analyze residence times of cholesterol interactions with GPCRs in MD simulations, revealing kinetic rates and molecular events.

REPOP: bacterial population quantification from platecounts

REPOP reconstructs bacterial populations from platecounts by accounting for dilution and plating uncertainties, revealing hidden multimodality that standard methods obscure.

Tracking Without Linking or Localization: Single-Photon Tracking

This paper introduces SP2T, a method for tracking fast-diffusing particles using 1-bit image data, showing it outperforms traditional methods and enables faster, more accurate tracking.

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.