Open access
Autor(in)
Alle anzeigen
Datum
2010-05Typ
- Journal Article
ETH Bibliographie
yes
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Abstract
Background
Current imaging methods such as Magnetic Resonance Imaging (MRI), Confocal microscopy, Electron Microscopy (EM) or Selective Plane Illumination Microscopy (SPIM) yield three-dimensional (3D) data sets in need of appropriate computational methods for their analysis. The reconstruction, segmentation and registration are best approached from the 3D representation of the data set.
Results
Here we present a platform-independent framework based on Java and Java 3D for accelerated rendering of biological images. Our framework is seamlessly integrated into ImageJ, a free image processing package with a vast collection of community-developed biological image analysis tools. Our framework enriches the ImageJ software libraries with methods that greatly reduce the complexity of developing image analysis tools in an interactive 3D visualization environment. In particular, we provide high-level access to volume rendering, volume editing, surface extraction, and image annotation. The ability to rely on a library that removes the low-level details enables concentrating software development efforts on the algorithm implementation parts.
Conclusions
Our framework enables biomedical image software development to be built with 3D visualization capabilities with very little effort. We offer the source code and convenient binary packages along with extensive documentation at http://3dviewer.neurofly.de. Mehr anzeigen
Persistenter Link
https://doi.org/10.3929/ethz-b-000030030Publikationsstatus
publishedExterne Links
Zeitschrift / Serie
BMC BioinformaticsBand
Seiten / Artikelnummer
Verlag
BioMed CentralThema
Image Volume; Application Programming Interface; Volume Rendering; Scene Graph; Volume EditingOrganisationseinheit
03453 - Douglas, Rodney J.
03454 - Martin, Kevan A.C.
ETH Bibliographie
yes
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