Scale-adaptive analysis of active transport

A scale adaptive analysis using drift of mean position as the metric and universal thresholding as the statistical tool to separate motor-driven active motion and passive Brownian diffusion in intracellular active transport is developed. It is validated by comparison with three existing methods, as well as by manual inspection. The method makes no assumption about the nature of the transport and can automatically adapt to heterogeneities among trajectories. The fully automated method allowed the analysis of a large intracellular active transport dataset with varying cell lines, cargo types, microtubule and cytoskeleton treatments to investigate the regulatory mechanisms of active transport.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Chemical Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2013

Author dc:creator

• Chen, Kejia

Contributors dc:contributor

• Granick, Steve

• Active Transport
• Temporal Analysis

Statement dc:rights

• Copyright 2013 Kejia Chen

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/45436

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/45436