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Accelerating Discovery in 3D Microanalysis: Leveraging Open Source Software and Deskside High Performance Computing

  • Terry S. Yoo (a1), Bradley C. Lowekamp (a1), Oleg Kuybeda (a1), Kedar Narayan (a2), Gabriel A. Frank (a2), Alberto Bartesaghi (a2), Mario Borgnia (a2), Sriram Subramaniam (a2), Guillermo Sapiro (a3) and Michael J. Ackerman (a1)...
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Abstract

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References

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[1] Yoo, TS, et al, Visualizing cells and humans in 3D: biomedical image analysis at nanometer and meter scales. IEEE Computer Graphics and Applications, 32(5) (Sep-Oct 2012), 39-49.
[2] Kuybeda, O, et al., A collaborative framework for 3D alignment and classification of heterogeneous subvolumes in cryo-electron tomography, Journal of Structural Biology, 181(2) (2013), Academic Press, pp. 116-127.
[3] Federov, A, et al, 3DSlicer as an image computing platform for the quantitative imaging network, Magnetic Resonance Imaging, 30 (2012), DOI: 10.1016/j.mri.2012.05.001, pp. 1323-1341.
[4] Lowekamp, BC, Chen, DT, Ibanez, L, Blezek, D The design of SimplelITK, Frontiers in Neuroinformatics, 7(45) (2013), DOI: 10.3389/fninf.2013.00045, pp. 1-14.
[5] SimpleITK was funded in part under the American Reinvestment and Recovery Act (ARRA) by NLM contract awards HHSN276201000488P and HHSN276201000490P. 3DSlicer is freely available from the National Alliance for Medical Image Computing (NA-MIC).

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