An automated method for precise axon reconstruction from recordings of high-density micro-electrode arrays.

"the cell models were downloaded from the neuromorpho org website [ ] and included four samples (neuromorpho ids: cell 1 - nmo_86990 - figure 1a cell 2 - nmo_86976 - figure 1b cell 3 - nmo_86965 - figure 1c cell 4 - nmo_87042 - figure 1d ). all the code needed to reproduce figures in this article can be found in the figure_notebooks folder of the github repo while the required data are available at zenodo ( https://doi org/10 5281/zenodo 4896745 ). all the code needed to reproduce figures in this article can be found in the figure_notebooks folder of the github repo while the required data are available at zenodo ( https://doi org/10 5281/zenodo 4896745 )."

"the linear fit achieves a very high r 2 value partially owing to the removal of outliers of the blue and pink branches depicted as diamond shapes2 3 the implementation of the above-described algorithm is available as an open-source python package called axon_velocity on github ( https://github com/alejoe91/axon_velocity ) and on pypi ( https://pypi org/project/axon-velocity/ ).; all the code needed to reproduce figures in this article can be found in the figure_notebooks folder of the github repo while the required data are available at zenodo ( https://doi org/10 5281/zenodo 4896745 ).; moreover we provide an open-source python package available on github ( https://github com/alejoe91/axon_velocity ) and on pypi ( https://pypi org/project/axon-velocity/ ) to facilitate the adoption of the method."

"This work was supported by the ETH Zurich Postdoctoral Fellowship 19-2 FEL-17 (APB) and the ERC Advanced Grant 694829 “neuroXscales”."