Abstract
Although the methodology of molecular microscopy has enormous potential, it is time consuming and labor intensive. The techniques required to produce a three-dimensional (3D) electron density map of a macromolecular structure normally require manual operation of an electron microscope by a skilled operator and manual supervision of the sometimes complex software needed for analysis and calculation of 3D maps. Systems to automate the process of data acquisition from an electron microscope are being developing and these systems are being integrated with specimen handling operations and post acquisition data processing. Here, the current performance of our existing systems and the future challenges involved in substantially improving both the sustained throughput and the yield of automated data collection and analysis are reported.
Publication types
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Evaluation Study
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Research Support, U.S. Gov't, Non-P.H.S.
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Research Support, U.S. Gov't, P.H.S.
MeSH terms
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Algorithms
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Biopolymers / chemistry*
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Comovirus / ultrastructure
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Equipment Failure Analysis
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Feasibility Studies
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Hemocyanins / ultrastructure
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Image Enhancement / instrumentation
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Image Enhancement / methods*
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Image Interpretation, Computer-Assisted / instrumentation
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Image Interpretation, Computer-Assisted / methods*
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Imaging, Three-Dimensional / instrumentation
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Imaging, Three-Dimensional / methods*
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Macromolecular Substances
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Microscopy, Electron / instrumentation*
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Microscopy, Electron / methods*
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Models, Molecular
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Molecular Conformation
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Robotics / instrumentation*
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Robotics / methods*
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Specimen Handling / instrumentation
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Specimen Handling / methods
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Systems Integration
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Tobacco Mosaic Virus / ultrastructure
Substances
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Biopolymers
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Macromolecular Substances
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Hemocyanins