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Updated: May 28, 2026
Immunostaining for DNA Modifications: Computational Analysis of Confocal Images
Published on: September 7, 2017
Quantitative image analysis of nuclear chromatin distribution for cytological diagnosis
Ryotaro Jingu1, Masafumi Ohki, Sumiko Watanabe
1Department of Health Sciences, Graduate School of Medical Sciences, Fukuoka, Japan.
Objective:
We previously reported on the classification of the nuclear chromatin distribution into 3 types, that is peripheral (P), mixed (M) and central (C), which were related to the malignancy of cervical glandular lesions. However, the classification was subjective as it was performed by visual assessment. In the present study, quantitative assessment of nuclear chromatin distribution using image analysis by computer was applied for objective classification of cervical squamous epithelial lesions, which are the most common cervical lesions.
Study Design:
A total of 130 cells (44 cells of type P, 78 of type M and 8 of type C) from cytological specimens of cervical squamous epithelial lesions (dysplasia, squamous cell carcinoma) were analyzed. An image analysis program was developed as a plug-in macro program of an existing image processing software. The radial distribution (RD) value, which represents the gradient of the staining intensity from the center to the edge of a nucleus, was defined as an index of the chromatin distribution.
Results:
The RD values calculated in type P, type M and type C cells showed significant statistical differences as assessed by the t test (p < 0.001).
Conclusions:
Quantification of the nuclear chromatin distribution by image analysis is fast and highly objective. The RD value could be useful as an index for malignancy.
