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

Jean-Christophe Olivo-Marin

doi:10.1117/12.217413

22 August 1995 Automatic detection of particles in immunolabelled images by wavelet-based selective reconstruction

Jean-Christophe Olivo-Marin

Proceedings Volume 2564, Applications of Digital Image Processing XVIII; (1995) https://doi.org/10.1117/12.217413
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

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.

Citation Download Citation

Jean-Christophe Olivo-Marin "Automatic detection of particles in immunolabelled images by wavelet-based selective reconstruction", Proc. SPIE 2564, Applications of Digital Image Processing XVIII, (22 August 1995); https://doi.org/10.1117/12.217413

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