Research Image Analysis Semi-Automated Reconstruction of the Neuromuscular Junctions in the C. elegans
Image Analysis
SCI’s imaging work addresses fundamental questions in 2D and 3D image processing, including filtering, segmentation, surface reconstruction, and shape analysis. In low-level image processing, this effort has produce new nonparametric methods for modeling image statistics, which have resulted in better algorithms for denoising and reconstruction. Work with particle systems has led to new methods for visualizing and analyzing 3D surfaces. Our work in image processing also includes applications of advanced computing to 3D images, which has resulted in new parallel algorithms and real-time implementations on graphics processing units (GPUs). Application areas include medical image analysis, biological image processing, defense, environmental monitoring, and oil and gas.
Image Analysis Project Sites
| Semi-Automated Reconstruction of the Neuromuscular Junctions in the C. elegans |
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For a nervous system to function, it must be wired properly. Specifically, neurons need to find their targets and form synapses. The neuron maintains such connections for years, accommodating growth of the organism and making allowance for other neurons that synapse to access the same target. Fulfilling these functions make topological demands on neurons and their targets. To study this process we are reconstructing the neuromuscular junctions in the nematode C. elegans.
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