2026-09-23T17:09:21Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/45436 2023-07-11 col_2142_11615 col_2142_5131 com_2142_9130 com_2142_8903 com_2142_5130

Granick, Steve Chen, Kejia 2013-08-22T16:40:06Z 2013-08-22T16:40:06Z 2013-08 2013-08-22T16:40:06Z 2013-08 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. Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2013-06-12T18:29:54Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 1 Chen_Kejia.pdf: 3545285 bytes, checksum: 71f6bdd5eddde39c019f91071a7ca2f4 (MD5) Made available in DSpace on 2013-08-22T16:40:06Z (GMT). No. of bitstreams: 2 Kejia_Chen.pdf: 3694977 bytes, checksum: 45ca61d559dcd65c798f54a385a29379 (MD5) license.txt: 4059 bytes, checksum: b40198b2d9abd0458ba90891fd7984f1 (MD5) http://hdl.handle.net/2142/45436 en Copyright 2013 Kejia Chen Active Transport Temporal Analysis Scale-adaptive analysis of active transport text Chemical & Biomolecular Engr 1687 Chemical Engineering 0300 University of Illinois at Urbana-Champaign Thesis M.S. PHD:Chemical Engineering -UIUC 10KS0300PHD