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SLEUTH--a fast computer program for automatically detecting particles in electron microscope images.

作者信息

Short Judith M

机构信息

MRC Laboratory of Molecular Biology, Hills Road, Cambridge CB2 2QH, UK.

出版信息

J Struct Biol. 2004 Jan-Feb;145(1-2):100-10. doi: 10.1016/j.jsb.2003.09.011.

DOI:10.1016/j.jsb.2003.09.011
PMID:15065678
Abstract

A method has been developed to locate biological complexes in a digitized electron micrograph by matching small windows to a set of reference images using a series of simple criteria. From the reference images, the program calculates parameters such as the radius of gyration, the density sum and variance. It compares them with corresponding values from a moving square window of densities extracted from the micrograph and records the coordinates of successfully matched candidate squares. Since the same particle is detected in a series of overlapping windows, candidates found to be within close proximity are grouped and the best-fitting one is selected from each cluster. The user is required only to select a small stack of boxed reference images and provide a few parameters, such as the particle radius and the minimum acceptable distance between particle centres. Micrograph labels and other areas that do not contain appropriate specimens are automatically ignored in order to minimize false positives. The program has been tested successfully on a variety of different biological structures, from both negatively stained and ice-embedded specimens.

摘要

相似文献

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引用本文的文献

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Avoiding the pitfalls of single particle cryo-electron microscopy: Einstein from noise.避免单颗粒冷冻电子显微镜的陷阱:来自噪声的爱因斯坦。
Proc Natl Acad Sci U S A. 2013 Nov 5;110(45):18037-41. doi: 10.1073/pnas.1314449110. Epub 2013 Oct 8.
2
A clarification of the terms used in comparing semi-automated particle selection algorithms in cryo-EM.澄清在比较 cryo-EM 半自动粒子选择算法中使用的术语。
J Struct Biol. 2011 Sep;175(3):348-52. doi: 10.1016/j.jsb.2011.03.009. Epub 2011 Mar 21.
3
Automatic particle selection from electron micrographs using machine learning techniques.
使用机器学习技术从电子显微照片中自动选择颗粒。
J Struct Biol. 2009 Sep;167(3):252-60. doi: 10.1016/j.jsb.2009.06.011. Epub 2009 Jun 23.