A novel computational method to quantify and analyse osteoclastic bone resorption

Iannis Adamopoulos, Konstantinos Pataridis

Research output: Contribution to journalArticlepeer-review


Bone destruction is a common feature of arthritis. Bone is resorbed by bone resorbing cells, termed osteoclasts. In medical research, quantification of the amount of bone resorbed areas is vital in understanding the resorptive capacity of the osteoclast under certain pathologic conditions, and its response to various treatments and pharmacological inhibitors. Validated image analysis algorithms and procedures, therefore, have become critical for elevating the quality of bone resorption assays results. As in all computational experimental methods in biology the pressure increases to make analysis transparent and reproducible. In this paper we present the novel software »OsteoPro» which has been designed specifically to address those issues. »OsteoPro» is a »turnkey» application that functions with minimal human interaction, by making use of morphological operations and blob analysis to classify structures according to their hue, saturation and size. In these experiments we have cultured osteoclasts on dentine slices, and the amount of bone resorption was analysed with the »OsteoPro» software using the techniques described in this paper. Finally »OsteoPro» is compared and contrast with other generic image processing suites, and further enhancements of the procedures used are also discussed.

Original languageEnglish (US)
Pages (from-to)87-91
Number of pages5
JournalJournal of Computational Methods in Sciences and Engineering
Issue number2
StatePublished - 2007
Externally publishedYes


  • bilateral filtering
  • blob analysis
  • bone resorption
  • Image analysis
  • osteoclasts

ASJC Scopus subject areas

  • Computer Science Applications
  • Computational Mathematics
  • Engineering(all)


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