The mission of AMI group is to develop automated imaging techniques for solving the three-dimensional structure of macromolecular complexes using cryoTEM. Our current focus is in developing new methods to improve the throughput of the entire process, from specimen preparation to the generation of the final three-dimensional map.

Current Projects include:

development of software infrastructure for automated control and acquisition of data from a TEM.

investigation of machine learning methods to link subjective image quality with feature metrics to improve the yield of acceptable micrographs that are acquired automatically,

implementation of an integrated system that can produce an electron density map of a macromolecular complex within a few hours of inserting a specimen in a transmission electron microscope.

creation of information technology to automate the infrastructure, administration and data handling tasks necessary to support remote instrumentation projects for K-16 education.

the development of methods for robotic handling of specimens.

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		AMI forum Thursday, February 11th, 12:00 p.m. 1. Segger: A new watershed segmentation and fitting tool... more» Thomas Goddard - Computer Graphics Laboratory University California San Francisco forum index »

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		Notes
		Shortcut to the annotated common data set used in the particle selection "bakeoff" (JSB, vol. 145, pp. 3-14, 2004). Original URL: Particle Picking Demo.

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	Structure of the chloroplast ribosome CryoEM reconstruction of the chloroplast ribosome reveals chloroplast-unique structures (shown in blue) on the surface of the small subunit of the ribosome, and otherwise a very bacterial 70S-like core structure. Andrea Manuell and Steve Mayfield