Tracking in cell and developmental biology
The past decade has seen an unprecedented data explosion in biology. It has become evident that in order to take full advantage of the potential wealth of information hidden in the data produced by even a single experiment, visual inspection and manual analysis are no longer adequate. To ensure efficiency, consistency, and completeness in data processing and analysis, computational tools are essential. Of particular importance to many modern live-cell imaging experiments is the ability to automatically track and analyze the motion of objects in time-lapse microscopy images. This article surveys the recent literature in this area. Covering all scales of microscopic observation, from cells, down to molecules, and up to entire organisms, it discusses the latest trends and successes in the development and application of computerized tracking methods in cell and developmental biology.
|Keywords||Cell tracking, Image analysis, Live-cell microscopy, Particle tracking, Pattern recognition|
|Persistent URL||dx.doi.org/10.1016/j.semcdb.2009.07.004, hdl.handle.net/1765/17041|
|Journal||Seminars in Cell and Developmental Biology|
|Grant||This work was funded by the European Commission 7th Framework Programme; grant id fp7/201842 - European Network for Cell Imaging and Tracking Expertise (ENCITE)|
Meijering, E, Dzyubachyk, O.M, Smal, I, & van Cappellen, W.A. (2009). Tracking in cell and developmental biology. Seminars in Cell and Developmental Biology (Vol. 20, pp. 894–902). doi:10.1016/j.semcdb.2009.07.004