Changes between Version 11 and Version 12 of barSupplement

Timestamp:

11/07/11 05:23:48 (14 years ago)

Author:

pmajka

Comment:

--

barSupplement

@@ -6 +6 @@
 Piotr Majka, Ewa Kublik, Grzegorz Furga, Daniel K. Wójcik (2011) submitted 
 
-One of the challenges of modern neuroscience is integrating voluminous data of diferent
-modalities derived from a variety of specimens. This task requires a common spatial framework 
-that can be provided by brain atlases. The first atlases were limited to two-dimentional presentation of structural data. Recently, attempts at creating 3D atlases have been made to offer navigation within non-standard anatomical planes and improve capability of localization of different types of data within the brain volume.
+One of the challenges of modern neuroscience is integrating voluminous
+data of diferent modalities derived from a variety of specimens. This
+task requires a common spatial framework that can be provided by brain
+atlases. The first atlases were limited to two-dimentional
+presentation of structural data. Recently, attempts at creating 3D
+atlases have been made to offer navigation within non-standard
+anatomical planes and improve capability of localization of different
+types of data within the brain volume.
 
-The 3D atlases available so far have been created using frameworks which make it difficult for other
-researchers to replicate the results. To facilitate reproducible
-research and data sharing in the field we propose a SVG-based Common
-Atlas Format (CAF) to store 2D atlas delineations or other compatible data
-and ''3D Brain Atlas Reconstructor'' (3dBAR), software dedicated to automated
-reconstruction of three-dimensional brain structures from 2D
-atlas data. The basic functionality is provided by 1) a set of parsers
-which translate various atlases from a number of formats into the CAF,
-and 2) a module generating 3D models from CAF datasets.
+The 3D atlases available so far have been created using frameworks
+which make it difficult for other researchers to replicate the
+results. To facilitate reproducible research and data sharing in the
+field we propose an SVG-based Common Atlas Format (CAF) to store 2D
+atlas delineations or other compatible data and 3D Brain Atlas
+Reconstructor (3dBAR), software dedicated to automated
+reconstruction of three-dimensional brain structures from 2D atlas
+data. The basic functionality is provided by 1) a set of parsers which
+translate various atlases from a number of formats into the CAF, and
+2) a module generating 3D models from CAF datasets.
 
-This methodology allows for the generation of 3D models in a
-reproducible and configurable manner. The users of the software may
-also track and review the whole reconstruction process in order to
-find and correct errors.
-Our workflow allows for manual corrections to be made when
-automatic reconstruction is not sufficient.
+The whole reconstruction process is reproducible and can easily be
+configured, tracked and reviewed, which facilitates fixing
+errors. Manual corrections can be made when automatic reconstruction
+is not sufficient. The software was designed to simplify
+interoperability with other neuroinformatics tools by using open file
+formats. The content can easily be exchanged at any stage of data
+processing. The framework allows for the addition of new public or
+proprietary content.
 
-The software was designed to simplify interoperability with other
-neuroinformatics tools by using open file formats (SVG, XML, VRML).
-The content can easily be exchanged at any stage of data
-processing.  The framework allows for the addition of new public or
-proprietary content. Most of the framework was implemented as a Python
-module with an API.
 
 ==== Following supplementary materials are available: ====