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Computer Graphics Challenges in Electron Microscope Tomography Visualization

Published online by Cambridge University Press:  02 July 2020

James W. Durkin*
Affiliation:
Program of Computer Graphics, Cornell University, Ithaca, NY14853
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Extract

We are developing a collaborative research environment, the Collaboratory for Microscopic Digital Anatomy (CMDA), to provide remote access to the sophisticated instrumentation located at the Na-tional Center for Microscopy and Imaging Research (NCMIR). The project’s initial focus is the col-lection and analysis of data from NCMIR’s unique intermediate-high voltage transmission electron microscope (HVEM), an instrument expressly designed to obtain images from thick specimens con-taining substantial 3-D structure. Because of the electron optical characteristics of the microscope, its images represent a 2-D projection of the specimen’s 3-D structure. 3-D data is derived, using axial tomography, from a series of projections acquired as the specimen is successively tilted in small angu-lar increments. Visualizing the 3-D volume data generated by this procedure is a key challenge facing the project. Our experience suggests that existing visualization mechanisms are limited in their ability to fully access the data’s biologically interesting information.

Type
Computational Advances and Enabling Technologies for 3D Microscopies in Biology
Copyright
Copyright © Microscopy Society of America 1997

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References

1.Young, S.J.et al., International Journal of Supercomputing Applications and High Performanc Computing, 10(2/3): 170181, Summer/Fall 1996.10.1177/109434209601000205CrossRefGoogle Scholar
2.Marschner, S.Rand Lobb, R.J., in Proceedings Visualization ’94, 100107, IEEE, October 1994.Google Scholar
3. This research was supported in part by grants from the National Science Foundation (ASC-9318190 and ASC-8920219) and the National Institutes of Health (RR 08605 and RR 04050). The author gratefully acknowledges the assistance of colleagues at the Program of Computer Graphics, the National Center for Microscopy and Imaging Research, and the San Diego Supercomputer Center.Google Scholar