Sep 11, 2021
Version 3
3D Reconstruction of Neurons in Vaa3D v 3 V.3
- Allen Institute for Brain Science1
- 1Allen Institute
- Allen Institute for Brain ScienceTech. support
Protocol Citation: Allen Institute for Brain Science 2021. 3D Reconstruction of Neurons in Vaa3D v 3. protocols.io https://dx.doi.org/10.17504/protocols.io.36wgq5683gk5/v3Version created by Allen Institute
License: This is an open access protocol distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Protocol status: Working
We use this protocol and it’s working
Created: September 11, 2021
Last Modified: September 11, 2021
Protocol Integer ID: 53136
Keywords: reconstruction, Vaa3D, neuron, DA0022,
Abstract
This protocol is used to generate accurate digital representations of neuron morphologies from a variety of brain regions and species. Each reconstruction captures the positions and thicknesses of the soma, dendrites and axon of a biocytin-filled cell within a slice of brain tissue. To generate the reconstruction we use an image stack containing ~200-700 serial 2D images that captures the full extent of the cell within the slice. We use the Vaa3D (Terafly) program with a Kazom’s Mozak user interface (Mozak for short) to visualize the 2D images in 3D. Once the stack is loaded in Mozak, our reconstruction is generated by placing nodes in 3D space. The placement of these nodes is dependent on the signal in the images. Our final output, an SWC text file (.swc format), contains many thousand rows. Each row contains a node ID, an x, y, z coordinate, radius value, neurite type, and parent node ID. After tracing is complete, we preform post processing to provide radius values, check for errors and consistency then the SWCs are uploaded into our Laboratory Information Management System.
Note: Research reported in this publication was supported by the National Institute Of Mental Health of the National Institutes of Health under Award Number U19MH114830. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
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