This presentation is an update on my earlier talk on the same subject and is related to my current research: using polygon meshes as a way to represent neuronal morphologies. I will revisit the previous presentation as a way to provide the required background, touching briefly on the acquisition of neuronal morphology data from microscopy and the generation of computer representations using the SWC format. The second part of the presentation will focus on the advantages of 3D meshes and the internal code structure of the processing pipeline in my project. Finally, I will discuss how I intend to tease out a research question out of what is largely a software engineering problem.

As previously, basic understanding of the paper by McDougal et al. [1] is useful.

[1] McDougal, Robert A., Michael L. Hines, and William W. Lytton. "Water-tight membranes from neuronal morphology files." Journal of neuroscience methods 220.2 (2013): 167-178.

Date: 03/02/2017
Time: 16:00
Location: LB252