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     COLLOQUIUM OF THE COMPUTATIONAL MATERIALS SCIENCE CENTER
AND THE SCHOOL OF PHYSICS, ASTRONOMY, & COMPUTATIONAL SCIENCES
               (CSI 898-Sec 001 crosslisted with PHYS 703)
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       Time-Lapse Image Data for Predictive Modeling of Cell Fate

                          Anne L. Plant
           Chief, Biosystems and Biomaterials Division
                 Materials Measurement Laboratory
        National Institute of Standards and Technology, Gaithersburg, MD 
 
Direct imaging of individual cells in the temporal domain provides critical
information about events such as gene expression in the context of cell-cell
contacts, cell cycle position, migration, etc, and allows the determination of
direct relationships between cell fate and multiple cellular parameters. We
have demonstrated that time-lapse imaging data from individual cells can
provide knowledge of stochastic fluctuations in reporter activity that lead to
prediction of the time-dependent fate of cell populations.  Two-dimensional
microscopy imaging in time over a statistically relevant sampling of cells can
generate extremely large datasets not only in terms of number of bytes but
also in terms of number of pixels. 

The number of bytes in these large datasets poses a challenge for data transfer, 
while the number of pixels presents a problem for interactive viewing of local 
and global details in space and time. Such a large dataset is encountered when 
stem cell colonies are being imaged over time to track the expression of 
fluorescent reporters of pluripotency. We have adapted a combination of a 
pyramid-based visualization tools to enable visual exploration of terapixel 
images.  

                            April 14, 2014
                               4:30 pm
                    Room 3301, Exploratory Hall, Fairfax Campus

Refreshments will be served at 4:15 PM.
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Find the schedule at http://www.cmasc.gmu.edu/seminars.htm