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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 atleast OpenGL 3.3 capability.
Drishti stands for vision or insight in Sanskrit, an Indian language.
Minimum graphics hardware configuration
The single most important determinant of Drishti performance for visualization is the graphics card. A dedicated graphics card with atleast 2GB memory is recommended as a minimum (more the merrier). Drishti would work on graphics cards with smaller memory, the volume sizes will be much more limited in these cases.
Citation for Drishti
Ajay Limaye; 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: https://doi.org/10.1098/rsos.201033
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
Releases
Download the current version of Drishti (v3.2) for