Title :
Deformable modeling for improved calculation of molecular velocities from single-particle tracking
Author :
Kasson, Peter M. ; Davis, Mark M. ; Brunger, Axel T.
Author_Institution :
Stanford Univ. Sch. of Medicine, CA, USA
Abstract :
Single-particle tracking provides a powerful technique for measuring dynamic cellular processes on the level of individual molecules. Much recent work has been devoted to using single particle tracking to measure long-range movement of particles on the cell surface, including methods for automated localization and tracking of particles [1-3]. However, most particle tracking studies to date ignore cell surface curvature and dynamic cellular deformation, factors frequently present in physiologically relevant situations. In this report, we perform quantitative evaluation of single-particle tracking on curved and deforming cell surfaces. We also introduce a new hybrid method that uses non-rigid cellular modeling for improved computation of single-particle tracking trajectories on the surfaces of cells undergoing deformation. This method combines single-molecule and bulk fluorescence measurements in an automated manner to enable more accurate and robust characterization of dynamic cell physiology and regulation.
Keywords :
biomechanics; cellular biophysics; deformation; molecular biophysics; proteins; cell physiology; cell regulation; cell surface; curved cell surface; deformable modeling; dynamic cellular deformation; dynamic cellular process; fluorescence measurement; long-range particle movement; molecular velocity; nonrigid cellular modeling; single-particle tracking; Computational modeling; Deformable models; Fluorescence; Motion measurement; Particle measurements; Particle tracking; Performance evaluation; Physiology; Robustness; Trajectory;
Conference_Titel :
Computational Systems Bioinformatics Conference, 2005. Proceedings. 2005 IEEE
Print_ISBN :
0-7695-2344-7
DOI :
10.1109/CSB.2005.28