NeuroAnatomy Toolbox (nat) enables analysis and visualisation of 3D biological image data, especially traced neurons. Reads and writes 3D images in NRRD and 'Amira' AmiraMesh formats and reads surfaces in 'Amira' hxsurf format. Traced neurons can be imported from and written to SWC and 'Amira' LineSet and SkeletonGraph formats. These data can then be visualised in 3D via 'rgl', manipulated including applying calculated registrations, e.g. using the 'CMTK' registration suite, and analysed. There is also a simple representation for neurons that have been subjected to 3D skeletonisation but not formally traced; this allows morphological comparison between neurons including searches and clustering (via the 'nat.nblast' extension package).
Version: 1.8.24 Depends: R (≥ 2.15.1), rgl (≥ 0.98.1) Imports: nabor, igraph (≥ 1.3.0), methods, filehash (≥ 2.3), digest, nat.utils (≥ 0.4.2), plyr, yaml Suggests: Rvcg (≥ 0.17), testthat, httr, XML, knitr, rmarkdown, markdown, MASS, alphashape3d, webshot2 Published: 2024-02-05 DOI: 10.32614/CRAN.package.nat Author: Gregory Jefferis [aut, cre], James Manton [aut], Dominik Krzeminski [ctb] Maintainer: Gregory Jefferis <jefferis at gmail.com> BugReports: https://github.com/natverse/nat/issues License: GPL-3 URL: https://github.com/natverse/nat, https://natverse.org/ NeedsCompilation: no Citation: nat citation info Materials: README NEWS CRAN checks: nat results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=nat to link to this page.
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