Title :
Methods for monitoring cellular motion and function
Author :
Padfield, Dirk ; Rittscher, Jens ; Roysam, Badrinath
Author_Institution :
GE Global Res., One Res. Circle, Niskayuna, NY
Abstract :
Automated cell phase analysis of live cells over extended time periods requires both novel assays and automated image analysis algorithms. We approach the tracking problem as a spatio-temporal volume segmentation problem, where the 2D slices are stacked into a volume with time as the z dimension. This extended abstract gives an overview of our approach and outlines how a robust tracking system for high-throughput screening can be designed.
Keywords :
biology computing; cellular biophysics; image motion analysis; image segmentation; automated cell phase analysis; cell segmentation; cell tracking; cellular function monitoring; cellular motion monitoring; image analysis; spatio-temporal volume segmentation problem; Algorithm design and analysis; Cells (biology); Fluorescence; Image analysis; Image quality; Image segmentation; Microscopy; Monitoring; Robustness; Tracking; Cell segmentation; cell tracking;
Conference_Titel :
Signals, Systems and Computers, 2008 42nd Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
978-1-4244-2940-0
Electronic_ISBN :
1058-6393
DOI :
10.1109/ACSSC.2008.5074358