Adaptive H-extrema for automatic immunogold particle detection

Guillaume Thibault, Kristiina Iljin, Christopher Arthur, Izhak Shafran, Joe Gray

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Quantifying concentrations of target molecules near cellular structures, within cells or tissues, requires identifying the gold particles in immunogold labelled images. In this paper, we address the problem of automatically detect them accurately and reliably across multiple scales and in noisy conditions. For this purpose, we introduce a new contrast filter, based on an adaptive version of the H-extrema algorithm. The filtered images are simplified with a geodesic reconstruction to precisely segment the candidates. Once the images are segmented, we extract classical features and then classify using the majority vote of multiple classifiers. We characterize our algorithm on a pilot data and present results that demonstrate its effectiveness.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages238-245
Number of pages8
Volume8259 LNCS
EditionPART 2
DOIs
StatePublished - 2013
Event18th Iberoamerican Congress on Pattern Recognition, CIARP 2013 - Havana, Cuba
Duration: Nov 20 2013Nov 23 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume8259 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other18th Iberoamerican Congress on Pattern Recognition, CIARP 2013
CountryCuba
CityHavana
Period11/20/1311/23/13

Fingerprint

Extremum
Multiple Classifiers
Classifiers
Multiple Scales
Gold
Vote
Tissue
Molecules
Geodesic
Classify
Filter
Target
Cell
Demonstrate

Keywords

  • Adaptive H-extrema
  • Immunogold particle detection
  • Mathematical morphology
  • Pattern recognition

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Thibault, G., Iljin, K., Arthur, C., Shafran, I., & Gray, J. (2013). Adaptive H-extrema for automatic immunogold particle detection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 2 ed., Vol. 8259 LNCS, pp. 238-245). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8259 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-41827-3_30

Adaptive H-extrema for automatic immunogold particle detection. / Thibault, Guillaume; Iljin, Kristiina; Arthur, Christopher; Shafran, Izhak; Gray, Joe.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8259 LNCS PART 2. ed. 2013. p. 238-245 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8259 LNCS, No. PART 2).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Thibault, G, Iljin, K, Arthur, C, Shafran, I & Gray, J 2013, Adaptive H-extrema for automatic immunogold particle detection. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 edn, vol. 8259 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 8259 LNCS, pp. 238-245, 18th Iberoamerican Congress on Pattern Recognition, CIARP 2013, Havana, Cuba, 11/20/13. https://doi.org/10.1007/978-3-642-41827-3_30
Thibault G, Iljin K, Arthur C, Shafran I, Gray J. Adaptive H-extrema for automatic immunogold particle detection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 ed. Vol. 8259 LNCS. 2013. p. 238-245. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). https://doi.org/10.1007/978-3-642-41827-3_30
Thibault, Guillaume ; Iljin, Kristiina ; Arthur, Christopher ; Shafran, Izhak ; Gray, Joe. / Adaptive H-extrema for automatic immunogold particle detection. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8259 LNCS PART 2. ed. 2013. pp. 238-245 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).
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