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Wiley InterScience | ||||||||||||||
  Journal of MicroscopyVolume 185 Issue 1, Pages 76 - 84 Published Online: 31 Oct 2003 Journal compilation © 2010 Royal Microscopical Society
Abstract | Full Text: PDF (Size: 1036K) | Related Articles | Citation Tracking 
Automated detection of macromolecules from electron micrographs using advanced filter techniques
KEYWORDS Automated object detection • biological macromolecules • electron microscopy ABSTRACTWe have addressed the problem of automated detection of biological macromolecules from electron micrographs by designing a detection filter which combines conventional correlation technique with a synthetic discriminant function (SDF) in conjunction with the constraint to minimize the energy in the correlation plane and that of noise. Combining the constrained SDF filter with circular harmonic expansion results in rotational invariance of the detection process. We define measures to evaluate filter performance by test calculations and discuss the choice of parameters for filter development. Compared with the conventional matched filter, improved recognition and discrimination of objects to be detected is achieved. Applications of the filter to detect biological macromolecules in electron micrographs are presented, demonstrating the improvements in object detection as well as the limitations of the method.
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