Drishti is an open-source scientific visualisation software designed by Ajay Limaye at the National Computational Infrastructure's VizLab.
The central idea of Drishti is that scientists can use it to explore and present volumetric datasets without extensive training.
Drishti has been developed with its end use in mind: ie. visualising volumetric data, such as tomography data, electron-microscopy data, etc.
Drishti works on GPUs with OpenGL 2.0 capability.
Drishti stands for vision or insight in Sanskrit, an Indian language.
Limaye Ajay; Drishti: a volume exploration and presentation tool. Proc. SPIE 8506, Developments in X-Ray Tomography VIII, 85060X (October 17, 2012)
Hu Yuzhi, Limaye Ajay and Lu Jing. 2020 Three-dimensional segmentation of computed tomography data using Drishti Paint:new tools and developments. R.Soc.open sci. 7:201033. doi: http://doi.org/10.1098/rsos.202033
Hu Yuzhi, Limaye Ajay and Lu Jing. 2020 A spark of 3D revisualization: new method for re-exploring segmented data. bioRxiv 2020.08.01.222869; doi: https://doi.org/10.1101/2020.08.01.222869
Download the current version of Drishti (v2.6.4) for
Download the Linux version of Drishti (v2.6.3)
http://nci.org.au/systems-services/scientific-visualisation/visualisation-services/drishti-prayog/
Updated version and help available at http://sf.anu.edu.au/~acl900/DrishtiPrayog/
http://sf.anu.edu.au/~acl900/drishti_perpetualbeta/Tutorials/
by Bailey Lovett
http://www.scribd.com/doc/191007517/The-Basics-of-Drishti-A-Free-To-Download-Volume-Exploration-Presentation-Tool
https://www.youtube.com/user/900acl/videos?sort=dd&flow=list&page=1&view=1
http://sf.anu.edu.au/~acl900/tmp/help-videos/ http://sf.anu.edu.au/Vizlab/drishti/help.shtml
Usage of Drishti by researchers around the world
All the contents of the wiki from google code will be transferred to this github site. But till that happens this is the table of contents from that (older) site - https://code.google.com/p/drishti-2/wiki/TableOfContents
Contact
Ajay Limaye [email protected]