title: Deformable modeling for improved calculation of molecular velocities from single-particle tracking.
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.
authors.affiliation: Stanford University School of Medicine, Stanford University, CA 94305, USA. kasson@slac.stanford.edu
authors.forename: Peter M
authors.initials: PM
authors.lastname: Kasson
authors.forename: Mark M
authors.initials: MM
authors.lastname: Davis
authors.forename: Axel T
authors.initials: AT
authors.lastname: Brunger
mesh_terms: D000465:Algorithms; D002462:Cell Membrane / Q000737:chemistry* / Q000502:physiology; D003198:Computer Simulation; D004058:Diffusion; D004548:Elasticity; D008560:Membrane Fluidity; D008565:Membrane Proteins / Q000737:chemistry* / Q000378:metabolism; D008856:Microscopy, Fluorescence / Q000379:methods*; D008954:Models, Biological; D008956:Models, Chemical
chemical_list: D008565:Membrane Proteins