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Telemicroscopy: Development of a Collaboratory for Microscopic Digital Anatomy

Published online by Cambridge University Press:  02 July 2020

M. H. Ellisman
Affiliation:
National Center for Microscopy and Imaging Research at San Diego, UCSD La Jolla CA. 92093
M. Hadida
Affiliation:
National Center for Microscopy and Imaging Research at San Diego, UCSD La Jolla CA. 92093
D. Greer
Affiliation:
San Diego Supercomputer Center - UCSD La Jolla CA
M. Wong
Affiliation:
National Center for Microscopy and Imaging Research at San Diego, UCSD La Jolla CA. 92093
S. Lindsey
Affiliation:
National Center for Microscopy and Imaging Research at San Diego, UCSD La Jolla CA. 92093
S. Peltier
Affiliation:
National Center for Microscopy and Imaging Research at San Diego, UCSD La Jolla CA. 92093
S.J. Young
Affiliation:
National Center for Microscopy and Imaging Research at San Diego, UCSD La Jolla CA. 92093
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Extract

Our original “Telemicroscopy” project has now been expanded into a project in which we aim to provide a “Collaboratory for Microscopic Digital Anatomy” (CMDA) Tools being developed will provide a researcher at a remote site distributed interaction with unique instrumentation for data acquisition, as well as significantly enhanced capabilities to derive and analyze 3D data by accessing high performance computers. Initial focus is on the collection and analysis of data from a unique IVEM located at the National Center for Microscopy and Imaging Research (NCMIR). The NCMIR instrument is one of a few IVEMs in the USA made available to the biological research community by the National Center for Research Resources of the National Institutes of Health. This particular instrument was specially designed to obtain images from thick specimens containing substantial 3D structure. Because of the characteristics of the EM, images acquired represent two dimensional projections of the 3D structure within the specimen.

Type
Advances in Remote Microscopy, Instrument Automation and Data Storage
Copyright
Copyright © Microscopy Society of America

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References

References:

1.Mercurio, P.J., et al., Comm. Assoc. Comp. Mach. 35(6): (1992) 5463..Google Scholar
2.Young, S. J., et al., Int. J. Supercomputing Applications and High Performance Computing. 10(2/3): (1996) 170181.CrossRefGoogle Scholar
3. This work was supported by Grants to Mark H. Ellisman (NIH-RR04050 and NSF-ASC93-18180) and to Sidney Karin (NIH-RR08605).Google Scholar