PT - JOURNAL ARTICLE AU - Colin D. Kinz-Thompson AU - Ruben L. Gonzalez, Jr. TI - Temporal super-resolution in single-molecule experiments AID - 10.1101/099648 DP - 2017 Jan 01 TA - bioRxiv PG - 099648 4099 - http://biorxiv.org/content/early/2017/01/12/099648.short 4100 - http://biorxiv.org/content/early/2017/01/12/099648.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 these kinetics are much faster than the time resolution of the given technique. By accurately and precisely inferring rate constants, this Bayesian Inference for the Analysis of Sub-temporal-resolution Data (BIASD) approach effectively enables the experimenter to super-resolve the poorly resolved, fast kinetics that are present in their data.