Hostname: page-component-848d4c4894-xm8r8 Total loading time: 0 Render date: 2024-07-04T23:32:18.360Z Has data issue: false hasContentIssue false
  • English
  • Français

Highlights of Selected Microscopy Research Resource Activities at San Diego

Published online by Cambridge University Press:  02 July 2020

Mark H. Ellisman ,
Stephen J. Young ,
G. Y. Fan ,
Guy Perkins ,
Steve Lamont  and
Maryann E. Martone
Mark H. Ellisman
Affiliation:
Center for Research on Biological Structure and the National Center for Microscopy and Imaging Research, University of California, San Diego, La Jolla, California92093-0608
Stephen J. Young
Affiliation:
Center for Research on Biological Structure and the National Center for Microscopy and Imaging Research, University of California, San Diego, La Jolla, California92093-0608
G. Y. Fan
Affiliation:
Center for Research on Biological Structure and the National Center for Microscopy and Imaging Research, University of California, San Diego, La Jolla, California92093-0608
Guy Perkins
Affiliation:
Center for Research on Biological Structure and the National Center for Microscopy and Imaging Research, University of California, San Diego, La Jolla, California92093-0608
Steve Lamont
Affiliation:
Center for Research on Biological Structure and the National Center for Microscopy and Imaging Research, University of California, San Diego, La Jolla, California92093-0608
Maryann E. Martone
Affiliation:
Center for Research on Biological Structure and the National Center for Microscopy and Imaging Research, University of California, San Diego, La Jolla, California92093-0608
Get access

Extract

The intermediate high-voltage electron microscope (IVEM) located at the National Center for Microscopy and Imaging Research at San Diego (NCMIR) can image relatively thick specimens that contain substantial three-dimensional (3-D) structure. Electron tomography is an important tool used at NCMIR for deriving 3-D cellular and subcellular structure from IVEM images. Reconstruction algorithms commonly used in electron tomography include weighted back projection, and iterative algebraic reconstruction techniques such as ART and SIRT. Improvements in reconstruction quality are possible using the iterative algorithms. Because these algorithms are computationally intensive, we have ported them to massively parallel computers at the San Diego Supercomputer Center, reducing the computation time over that required with workstation level machines.

The quality of tomographic data for the 3-D reconstruction of biological structures is also being enhanced by NCMIR projects to improve the microscope. We have designed and constructed special electron optics and microscope control systems for the JEOL 4000EX.

Type
Shared Resources: Access to Critical Instrumentation
Information
Microscopy and Microanalysis , Volume 3 , Issue S2: Proceedings: Microscopy & Microanalysis '97, Microscopy Society of America 55th Annual Meeting, Microbeam Analysis Society 31st Annual Meeting, Histochemical Society 48th Annual Meeting, Cleveland, Ohio, August 10-14, 1997 , August 1997 , pp. 275 - 276
Copyright
Copyright © Microscopy Society of America 1997

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Deerinck, T.J., Martone, M.E., Lev-Ram, V., Green, D.P.L., Tsien, R.Y., Spector, D.L., Huang, S. and Ellisman, M.H. (1994) J. Cell Biol. 126(4):901–910.10.1083/jcb.126.4.901CrossRefGoogle Scholar
Fan, G.Y. and Ellisman, M.H. (1993) Ultramicroscopy 52:21–29.10.1016/0304-3991(93)90019-TCrossRefGoogle Scholar
Fan, G.Y., Mercurio, P.J., Young, S.J. and Ellisman, M.H. (1993) Ultramicroscopy 52:499–503.10.1016/0304-3991(93)90066-7CrossRefGoogle Scholar
Fan, G.Y., Young, S.J., Deerinck, T. and Ellisman, M.H. (1996) J. Microsc. Soc. America, Vol.2, ppl37–146.Google Scholar
Hessler, D., Young, S.J., and Ellisman, M.H. (1996) J. Struc. Biol. 116:113–119.10.1006/jsbi.1996.0019CrossRefGoogle Scholar
Hessler, D., Young, S.J., Carragher, B.O., Martone, M., Lamont, S., Whittaker, M., Milligan, R.A., Masliah, E., Hinshaw, J.E., and Ellisman, M.H. (1992) NeuroImage 1(1): 55–67.10.1016/1053-8119(92)90007-ACrossRefGoogle Scholar
Mercurio, P.J., Elvins, T.T., Young, S.J., Cohen, P.S., Fall, K.R. and Ellisman, M.H. (1992) Comm.Assoc.Comp.M ach. 35(6): 54–63.Google Scholar
Robb, R. A., Heffernan, P. B., Camp, J. J. and Hanson, D. P. 1987. Compt. Methods and Prog, in Biomed. 25:169–184.10.1016/0169-2607(87)90052-6CrossRefGoogle Scholar
Young, S.J., Fan, G.Y., Hessler, D., Lamont, S., Elvins, T.T., Hadida, M., Hanyzewski, G., Durkin, J.W., Hubbard, P., Kindalman, D., Wong, E., Greenberg, D., Karin, S. and Ellisman, M.H. (1996) Intl. J. Supercomputing Applic. and High Performance Computing. 10(2/3): 170–181.10.1177/109434209601000205CrossRefGoogle Scholar