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Proceedings Paper

Automatic detection of particles in immunolabelled images by wavelet-based selective reconstruction
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Paper Abstract

In order to automatically analyze electron immunomicroscopy images, we have developed a computerized scheme for the detection and characterization of nanometer-size metal particles. The method is based upon selectively reconstructing an orthogonal wavelet decomposition of the image through the use of wavelet coefficient thresholding. The method is designed to work irrespective of the background and of the structural content of the image. Results are presented for the analysis of immunogold labelling of muscle tissues.

Paper Details

Date Published: 22 August 1995
PDF: 10 pages
Proc. SPIE 2564, Applications of Digital Image Processing XVIII, (22 August 1995); doi: 10.1117/12.217413
Show Author Affiliations
Jean-Christophe Olivo-Marin, European Molecular Biology Lab. (Germany)


Published in SPIE Proceedings Vol. 2564:
Applications of Digital Image Processing XVIII
Andrew G. Tescher, Editor(s)

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