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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Phase 2 of the Follow that Cell Challenge is underway and is only open to Phase 1 finalists. During Phase 2, Reduction to Practice, finalists will generate proof-of-concept data related to their Phase 1 entries. Submissions are due March 30, 2017.
Phase 2 Winner(s) Announced: July 31, 2017
Save the date for the 2016 Annual Investigators Meeting on March 2-3, 2016, in the Bethesda/Rockville, MD area!
Past meeting information is available online.
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.