Automatic particle picking of biological molecules imaged by electron microscopy

Banks, Jasmine, Rothnagel, Rosalba, & Hankamer, Ben (2003) Automatic particle picking of biological molecules imaged by electron microscopy. In Bailey, Donald G. (Ed.) Image and Vision Computing New Zealand 2003, Institute of Information Sciences and Technology, Massey University, Massey University, Palmerston North, pp. 269-274.

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One of the next great challenges of cell biology is the determination of the enormous number of protein structures encoded in genomes. In recent years, advances in electron cryo-microscopy and high-resolution single particle analysis have developed to the point where they now provide a methodology for high resolution structure determination.

Using this approach, images of randomly oriented single particles are aligned computationally to reconstruct 3-D structures of proteins and even whole viruses. One of the limiting factors in obtaining high-resolution reconstructions is obtaining a large enough representative dataset ($>100,000$ particles). Traditionally particles have been manually picked which is an extremely labour intensive process. The problem is made especially difficult by the low signal-to-noise ratio of the images.

This paper describes the development of automatic particle picking software, which has been tested with both negatively stained and cryo-electron micrographs. This algorithm has been shown to be capable of selecting most of the particles, with few false positives. Further work will involve extending the software to detect differently shaped and oriented particles.

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ID Code: 55343
Item Type: Conference Paper
Refereed: Yes
Keywords: electron microscopy, single particle analysis, automatic particle picking, correlation
ISBN: 0476000955
Subjects: Australian and New Zealand Standard Research Classification > BIOLOGICAL SCIENCES (060000) > BIOCHEMISTRY AND CELL BIOLOGY (060100) > Structural Biology (incl. Macromolecular Modelling) (060112)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2003 [please consult the author]
Deposited On: 10 Dec 2012 03:39
Last Modified: 10 Dec 2012 08:54

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