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Proceedings Paper

Two- and three-dimensional segmentation and measurement of particles in the analysis of microscopic digital images of biological samples
Author(s): Billy W. Loo; Bahram Parvin; Stephen S. Rothman
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Paper Abstract

The authors present a Hough transform based image segmentation algorithm for automated detection, counting, and measurement of particles in two- and three-dimensional microscopic digital image data sets. The algorithm has proven to be both sensitive and specific for the particles of interest, even in the presence of noise and blurring. We apply the algorithm to the problem of automated compilation of population statistics on the size and mass of zymogen granules in pancreatic acinar cells. We present results describing the performance of the algorithm on digital phantoms, and image data from conventional fluorescence and confocal microscopes.

Paper Details

Date Published: 10 April 1996
PDF: 7 pages
Proc. SPIE 2655, Three-Dimensional Microscopy: Image Acquisition and Processing III, (10 April 1996); doi: 10.1117/12.237478
Show Author Affiliations
Billy W. Loo, Univ. of California and Lawrence Berkeley National Lab. (United States)
Bahram Parvin, Lawrence Berkeley National Lab. (United States)
Stephen S. Rothman, Univ. of California and Lawrence Berkeley National Lab. (United States)


Published in SPIE Proceedings Vol. 2655:
Three-Dimensional Microscopy: Image Acquisition and Processing III
Carol J. Cogswell; Gordon S. Kino; Tony Wilson, Editor(s)

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