Many biological experiments are performed on groups of cells, under the assumption that all cells of a particular “type” are identical. However, recent evidence from studies of single cells reveals that this assumption is incorrect. Individual cells within the same population may differ dramatically, and these differences can have important consequences for the health and function of the entire population.
Creating 3D Movies of Neuronal Activity in Real-Time
Researchers in the Single Cell Analysis program have created a high-speed, large-scale 3D imaging system capable of visualizing the activity of individual neurons in a living animal. By optimizing a technology called light-field microscopy, researchers were able to image the activity of every neuron in a worm and in the whole brain of a zebrafish larva. The system allows scientists to monitor and track neuron activity and may aid efforts to discover how sensory input is processed and behavior generated.
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NEW! NIH Awards Nearly $8 Million in New Grants to Single Cell Analysis Program
The National Institutes of Health has awarded grants totaling $7.9 million in 2014 to 25 research teams who are unraveling the workings of single cells as part of an effort to spur development of personalized treatments that target disease at the cellular level in the Common Fund's Single Cell Analysis Program. Read the full press release here.
Save the Date for the 2015 Annual Investigators Meeting!
The 3rd Annual Single Cell Analysis Investigators Meeting is scheduled for April 20-21, 2015 at the Natcher Conference Center on the NIH Campus in Bethesda, Maryland. Registration will be available soon!
Funding Opportunity Announcement for Single Cell Analysis Program:
The Development of Highly Innovative Tools and Technology for Analysis of Single Cells FOA is affiliated with the Common Fund Single Cell Analysis Program (SCAP), but is not receiving direct Common Fund support. Awards made through this FOA will be funded by participating component NIH Institutes and Centers.
"Follow that Cell" Challenge
The NIH is seeking novel robust methods for analysis of individual cells that can detect and assess changes in cell behavior and function over time either as a result of natural state changes or when perturbed. Read More