Files in this item



application/pdfKejia_Chen.pdf (4MB)
(no description provided)PDF


Title:Scale-adaptive analysis of active transport
Author(s):Chen, Kejia
Advisor(s):Granick, Steve
Department / Program:Chemical & Biomolecular Engr
Discipline:Chemical Engineering
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):Active Transport
Temporal Analysis
Abstract: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.
Issue Date:2013-08-22
Rights Information:Copyright 2013 Kejia Chen
Date Available in IDEALS:2013-08-22
Date Deposited:2013-08

This item appears in the following Collection(s)

Item Statistics