Automatic detection and surface measurements of micronucleus by a computer vision approach

Michele Ceccarelli, Antonio Speranza, Domenico Grimaldi, Francesco Lamonaca

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

This paper reports a novel method for nucleus and micronucleus segmentation. These biological structures are useful to biologists for relieving structural chromosome aberration. The adopted method consists of a pipeline of advanced computer vision algorithms, some of them were specifically tailored for the current segmentation problem. Starting from the weak hypotheses on size, shape, and color of micronucleus, it is possible to efficiently segment and measure the image features of interest by a computer vision approach. We report experimental results with a new flow cytometer architecture specifically developed to recognize and measure micronucleus of human lymphocyte. The robustness of the algorithm with respect to various kinds of noise is also reported.

Original languageEnglish
Article number5508418
Pages (from-to)2383-2390
Number of pages8
JournalIEEE Transactions on Instrumentation and Measurement
Volume59
Issue number9
DOIs
Publication statusPublished - 1 Sep 2010
Externally publishedYes

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Keywords

  • Component
  • Gaussian noise
  • image enhancement
  • image processing
  • micronucleus (MNs) measurement
  • segmentation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Instrumentation

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