Scoring of radiation-induced micronuclei in cytokinesis-blocked human lymphocytes by automated image analysis

Cytometry. 1994 Oct 1;17(2):119-27. doi: 10.1002/cyto.990170203.

Abstract

The micronucleus assay in human lymphocytes is, at present, frequently used to assess chromosomal damage caused by ionizing radiation or mutagens. Manual scoring of micronuclei (MN) by trained personnel is very time-consuming, tiring work, and the results depend on subjective interpretation of scoring criteria. More objective scoring can be accomplished only if the test can be automated. Furthermore, an automated system allows scoring of large numbers of cells, thereby increasing the statistical significance of the results. This is of special importance for screening programs for low doses of chromosome-damaging agents. In this paper, the first results of our effort to automate the micronucleus assay with an image-analysis system are represented. The method we used is described in detail, and the results are compared to those of other groups. Our system is able to detect 88% of the binucleated lymphocytes on the slides. The procedure consists of a fully automated localization of binucleated cells and counting of the MN within these cells, followed by a simple and fast manual operation in which the false positives are removed. Preliminary measurements for blood samples irradiated with a dose of 1 Gy X-rays indicate that the automated system can find 89% +/- 12% of the micronuclei within the binucleated cells compared to a manual screening.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Automation
  • Cell Division
  • Dose-Response Relationship, Radiation
  • Evaluation Studies as Topic
  • Female
  • Flow Cytometry / methods*
  • Humans
  • Image Processing, Computer-Assisted / instrumentation
  • Image Processing, Computer-Assisted / methods*
  • In Vitro Techniques
  • Lymphocytes / radiation effects*
  • Lymphocytes / ultrastructure*
  • Micronuclei, Chromosome-Defective / radiation effects*
  • Micronuclei, Chromosome-Defective / ultrastructure*
  • Micronucleus Tests / methods*
  • Software Design