Classification-based motion analysis of single-molecule trajectories using DiffusionLab.

ABSTRACT: Single-particle tracking is a powerful approach to study the motion of individual molecules and particles. It can uncover heterogeneities that are invisible to ensemble techniques, which places it uniquely among techniques to study mass transport. Analysis of the trajectories obtained with single-particle tracking in inorganic porous hosts is often challenging, because trajectories are short and/or motion is heterogeneous. We present the DiffusionLab software package for motion analysis of such challenging data sets. Trajectories are first classified into populations with similar characteristics to which the motion analysis is tailored in a second step. DiffusionLab provides tools to classify trajectories based on the motion type either with machine learning or manually. It also offers qua

SUBMITTER: Maris JJE 

PROVIDER: S-EPMC9187757 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature