Automatic Detection and Surface Measurements of Micronucleus by a Computer Vision Approach

被引：27
作者：
Ceccarelli, Michele [1 ,2 ]
Speranza, Antonio [2 ,3 ]
Grimaldi, Domenico [4 ]
Lamonaca, Francesco [4 ]
机构：
[1] Univ Sannio, RCOST, I-82100 Benevento, Italy
[2] Biogem SCARL, Bioinformat Core, I-83031 Ariano Irpino, AV, Italy
[3] CNR, Biostruct & Bioimaging Inst, I-80131 Naples, Italy
[4] Univ Calabria, Dept Elect Comp & Syst Sci, I-87036 Arcavacata Di Rende, CS, Italy
来源：
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT | 2010年 / 59卷 / 09期
关键词：
Component; Gaussian noise; image enhancement; image processing; micronucleus (MNs) measurement; segmentation; ANISOTROPIC DIFFUSION; SCORING PROCEDURE; IMAGE-ANALYSIS; ASSAY;
D O I：
10.1109/TIM.2010.2049184
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：2383 / 2390
页数：8
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