read.vaa3draw

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).

Gregory Jefferis

NeuroAnatomy Toolbox for Analysis of 3D Image Data

James Manton

Dominik Krzeminski

read.vaa3draw function

<dl><dt>f</dt>
<dd>Path to image to read</dd>
<dt>ReadData</dt>
<dd>Whether to read in data or just parse header</dd>
<dt>Verbose</dt>
<dd>Whether to print status messages</dd>
<dt>ReadByteAsRaw</dt>
<dd>Can reduce memory footprint by reading 8 bit data as a 
raw rather than 4 byte interegers.</dd></dl>

Arguments

Read Vaa3d format image data — read.vaa3draw

<dl>

<dt>f</dt>
<dd>Path to image to read</dd>


<dt>ReadData</dt>
<dd>Whether to read in data or just parse header</dd>


<dt>Verbose</dt>
<dd>Whether to print status messages</dd>


<dt>ReadByteAsRaw</dt>
<dd>Can reduce memory footprint by reading 8 bit data as a 
raw rather than 4 byte interegers.</dd>

</dl>

read.vaa3draw: Read Vaa3d format image data

Description

Usage

Arguments