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License Information

VolumeRover is Copyright © 2011 Computational Visualization Center, The University of Texas at Austin.

VolumeRover is distributed under the the terms of the GNU Lesser General Public License version 2.1.

If you find our software useful in your research, we kindly ask that you acknowledge this use by citing our relevant publications:

C. Bajaj, Z. Yu. “Geometric and Signal Processing of Reconstructed 3D Maps of Molecular Complexes,” Handbook of Computational Molecular Biology, edited by S. Aluru, Chapman & Hall/CRC Press, 2005.

An extended list of associated references is given at the bottom of this page.

Users interested in commercial licensing should contact Jitendra Jain.

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VolumeRover Binaries

Note: NVIDIA Cg Framework required for MacOSX binary.

VolumeRover Neuron Binaries

Source

  * Currently the source code is distributed only for academic use. Users interested in commercial licensing should contact Jitendra Jain.
  * Request academic license
  * Download source

Future Work

Previous Version: VolRover1.1.2

References

C. Bajaj, S. Goswami, and Q. Zhang
Detection of Secondary and Supersecondary Structures of Proteins for Cryo-Electron Microscopy
Journal of Structural Biology, Volume 177, Issue 2, February 2012, Pages 367-381doi:10.1016/j.jsb.2011.11.032.

Q. Zhang, R. Bettadapura and C. Bajaj
Macromolecular Structure Modeling from 3DEM using VOLROVER 2.0
Accepted in Biopolymers, 2012 doi:10.1002/bip.22052.

G. Xu, M. Li, A. Gopinath, C. Bajaj
Computational Inversion of Electron Tomography Images Using L2-Gradient Flows
Journal of Computational Mathematics, 29:501-525, 2011, doi: 10.4208/jcm.1106-m3302.

O. Sharma, Q. Zhang, F. Anton, C. Bajaj
Fast Streaming 3D Level Set Segmentation on the GPU for Smooth Multi-phase Segmentation
Transactions on Computational Sciences, 6750:72-91, 2011, NIHMSID# 282368, doi:10.1007/978-3-642-22619-9_4.

M. Li, G. Xu, C. Sorzano, F. Sun, and C. Bajaj
Single-Particle Reconstruction Using L2-Gradient Flow
Journal of Structural Biology (2011) 176 (3): 259-267, NIHMSID 318967,doi:10.1016/j.jsb.2011.08.005, PMID: 21864687, PMC Journal in Process.

R. Khan, Q. Zhang, S. Darayan, S. Dhandapani, S. Katyal, C. Greene, C. Bajaj, D. Ress
Surface-Based Analysis Methods for High-Resolution Functional Magnetic Resonance Imaging
Graphical Models, 73(6):313-322, 2011, doi:10.1016/j.gmod.2010.11.002, PMID: 22125419.

Q. Zhang, C. Bajaj
Cryo-Electron Microscopy Data Denoising Based on the Generalized Digitized Total Variation Method
Far East Journal of Applied Mathematics, 45(2): 83-99, 2010, NIHMSID# 187605,doi:10.1002/bip.22052, PMCID: PMC3106423.

J. Edwards and C. Bajaj
Topologically correct reconstruction of tortuous contour forests
Computer-Aided Design, 43(10): 1296-1306, 2011, NIHMSID 319941,doi:10.1016/j.cad.2011.06.019, PMID: 22003256, PMC Journal in Process.

C. Bajaj, Z. Yu
Geometric and Signal Processing of Reconstructed 3D Maps of Molecular Complexes
Handbook of Computational Molecular Biology, Edited by S. Aluru, Chapman & Hall/CRC Press, Computer and Information Science Series, December 21, 2005, ISBN: 1584884061.

Z. Yu, C. Bajaj
Computational Approaches for Automatic Structural Analysis of Large Bio-molecular Complexes
Accepted for publication in IEEE/ACM Transactions on Computationsl Biology and Bioinformatics, 2007.

Z. Yu, C. Bajaj
Automatic Ultrastructure Segmentation of Reconstructed CryoEM Maps of Icosahedral Viruses
IEEE Transactions on Image Processing: SpecialIssue on Molecular and Cellular Bioimaging, 2005 Sep;14(9):1324-37.

C. Bajaj, Z. Yu, M. Auer
Volumetric Feature Extraction and Visualization of Tomographic Molecular Imaging
Journal of Structural Biology, Volume 144, Issues 1-2, October 2003, Pages 132-143.

S. Park, C. Bajaj, G. Gladish
Artery-Vein Seperation of Human Vasculature from 3D Thoracic CT Angio Scans
CompIMAGE. Coimbra, Portugal. October 20-21, 2006.

Z. Yu, C. Bajaj
A Fast and Adaptive Algorithm for Image Contrast Enhancement
Procedings of 2004 IEEE International Conference on Image Processing (ICIP’04), Volume 2, Oct. 24-27 2004, Pages 1001-1004, Singapore.

Z. Yu, C. Bajaj
A Segmentation-Free Approach for Skeletonization of Gray-Scale Images via Anistropic Vector Diffusion
Procedings of 2004 IEEE International Conference on Computer Vision and Pattern Recognition (CVPR’04), Volume 1, Pages 415-420, Washington, DC.

Z. Yu, C. Bajaj
Normalized Gradient Vector Diffusion and Image Segmentation
Procedings of the 7th European Conference on Computer Vision (LNCS 2352), vol. 3, pp. 517-530, (Published by Springer Press), Copenhagen, Denmark, May 28-31, 2002.