title: Image-based computational tracking and analysis of spindle protein dynamics.
abstract: The spindle is a highly complex and dynamic molecular machine that is assembled during cell division for accurate segregation of replicated chromosomes. Successful completion of cell division relies on the right spindle proteins to be at the right place at the right time to serve their functions. Quantitative characterization and analysis of spatiotemporal behaviors of spindle proteins are therefore essential to understanding related cell division mechanisms. The main goal of this chapter is to introduce basic concepts and methods for computational tracking and analysis of spindle protein spatiotemporal dynamics that is visualized and recorded in fluorescence microscopy images. An emphasis is placed on providing practical and useful information on related software tools. Examples are used to demonstrate applications of related computational methods and software tools.
authors.affiliation: Department of Biomedical Engineering and Lane Center for Computational Biology, Mellon Institute 403, Carnegie Mellon University, 4400 Fifth Avenue, Pittsburgh, PA, 15213, USA, geyang@andrew.cmu.edu.
authors.forename: Ge
authors.initials: G
authors.lastname: Yang
mesh_terms: D019295:Computational Biology / Q000379:methods; D003598:Cytoskeletal Proteins / Q000378:metabolism*; D007091:Image Processing, Computer-Assisted; D008856:Microscopy, Fluorescence; D057054:Molecular Imaging; D021381:Protein Transport; D008941:Spindle Apparatus / Q000378:metabolism*
chemical_list: D003598:Cytoskeletal Proteins