PT  - JOURNAL ARTICLE
AU  - Colin D. Kinz-Thompson
AU  - Ruben L. Gonzalez, Jr.
TI  - Increasing the time resolution of single-molecule experiments with Bayesian inference
AID  - 10.1101/099648
DP  - 2017 Jan 01
TA  - bioRxiv
PG  - 099648
4099  - http://biorxiv.org/content/early/2017/05/26/099648.short
4100  - http://biorxiv.org/content/early/2017/05/26/099648.full
AB  - Many time-resolved, single-molecule biophysics experiments seek to characterize the kinetics of biomolecular systems exhibiting dynamics that challenge the time resolution of the given technique. Here we present a general, computational approach to this problem that employs Bayesian inference to learn the underlying dynamics of such systems, even when they are much faster than the time resolution of the experimental technique being used. By accurately and precisely inferring rate constants, our Bayesian Inference for the Analysis of Sub-temporal-resolution Data (BIASD) approach effectively enables the experimenter to super-resolve the poorly resolved dynamics that are present in their data.