Design and implementation of multi-signal and time-varying neural reconstructions.

ABSTRACT: Several efficient procedures exist to digitally trace neuronal structure from light microscopy, and mature community resources have emerged to store, share, and analyze these datasets. In contrast, the quantification of intracellular distributions and morphological dynamics is not yet standardized. Current widespread descriptions of neuron morphology are static and inadequate for subcellular characterizations. We introduce a new file format to represent multichannel information as well as an open-source Vaa3D plugin to acquire this type of data. Next we define a novel data structure to capture morphological dynamics, and demonstrate its application to different time-lapse experiments. Importantly, we designed both innovations as judicious extensions of the classic SWC format, thus ensuring

SUBMITTER: Nanda S 

PROVIDER: S-EPMC5779069 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature