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The Use of Image Processing and Analysis in Automated Biological Dosimetry

D., Ramadhani and M., Syaifudin and S., Purnami and A., Naroeni (2020) The Use of Image Processing and Analysis in Automated Biological Dosimetry. Atom Indonesia, 46 (1). 127 -133. ISSN 0126-1568

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Abstract

Biological dosimetry based on cytogenetic markers such as dicentric chromosome (DC) and micronuclei (MN) is, until now, the most frequently used method to estimate the radiation dose in the radiological accident event. Another biomarker that recently gains popularity in biodosimetry is γH2AX. All these three assays are microscope-based biodosimetry techniques, and therefore need manual scoring to estimate the radiation dose. Unfortunately, the manual scoring of these assays is time-consuming and labor-intensive. In the case of a large-scale radiological accident when many people are exposed to radiation, it is very useful to use image processing and analysis in the scoring process to obtain a faster result. Several commercial systems or open-source image processing software packages already developed automated scoring of DC, MN, and γH2AX assays. This article describes how image processing and analysis were applied in automated biodosimetry based on the DC, MN, and γH2AX assays.

Item Type: Article
Subjects: Isotop dan Radiasi > Pemanfaatan Isotop dan Radiasi > Bidang Kesehatan
Divisions: Pusat Pendayagunaan Informatika dan Kawasan Strategis Nuklir
Depositing User: USER PPIKSN BATAN
Date Deposited: 23 Dec 2020 15:10
Last Modified: 23 Dec 2020 15:10
URI: http://repo-nkm.batan.go.id/id/eprint/10231

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