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A Testbed for Automated Acquistion From a TEM

Published online by Cambridge University Press:  02 July 2020

C.S. Potter
Affiliation:
Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL, 61801 National Center for Supercomputing Applications, University of Illinois, Urbana, EL, 61801
B. Carragher
Affiliation:
Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL, 61801 National Center for Supercomputing Applications, University of Illinois, Urbana, EL, 61801
H. Chu
Affiliation:
Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL, 61801
B. J. Frey
Affiliation:
Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL, 61801
R. Josephs
Affiliation:
Department of Molecular Genetics and Cell Biology, University of Chicago, 60637
C. Lin
Affiliation:
Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL, 61801
N. Kisseberth
Affiliation:
Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL, 61801 National Center for Supercomputing Applications, University of Illinois, Urbana, EL, 61801
K.L. Miller
Affiliation:
National Center for Supercomputing Applications, University of Illinois, Urbana, EL, 61801
K. Nahrstedt
Affiliation:
Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL, 61801
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Extract

We are developing a testbed for automated identification of specimens, and acquisition of high resolution images for 3D macromolecular EM. Several software package which have been developed specifically for acquisition of tomographic data sets have illustrated the benefits of automation. These software packages require the user to identify a specimen of interest and then automatically acquire a single tilt series from the identified specimen. The testbed we are developing will provide a generalized system for specimen identification, image acquisition and image quality assessment. The goals of the testbed are to provide a system that will acquire EM images unattended by an operator.

The testbed integrates a computer controlled TEM with a distributed real-time image processing environment. Computerized control and image acquisition from the TEM uses the emScope software package (1). This is coupled to existing image processing software packages and new software tools developed specifically for this project.

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

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References

(1) Kisseberth, N. et al., J. of Struct. Biology 120 (1997) 309319.CrossRefGoogle Scholar

(2) Henderson, R. et al, Ultramicroscopy 19(1986) 147178.CrossRefGoogle Scholar

(3) Nahrstedt, K. et al., IEEE J. on Selected Areas in Communications 14(1996) 12631279.CrossRefGoogle Scholar