A Systematic Review of Trends for Image Quality Improvement in Light Microscopy

• 영문명: 광학 현미경 영상 화질개선의 추세에 관한 체계적 고찰
• 발행기관: 대한방사선과학회(구 대한방사선기술학회)
• 저자명: 김규석 이영진
• 간행물 정보: 『방사선기술과학』제46권 제3호, 207~217쪽, 전체 11쪽
• 주제분류: 의약학 > 방사선과학
• 파일형태: PDF
• 발행일자: 2023.06.30

영문 초록

Image noise reduction algorithm performs important functions in light microscopy. This study aims to systematically review the research trend of types and performance evaluation methods of noise reduction algorithm in light microscopic images. A systematic literature search of three databases of publications from January 1985 to May 2020 was conducted; of the 139 publications reviewed, 16 were included in this study. For each research result, the subjects were categorized into four major frameworks—1. noise reduction method, 2. imaging technique, 3. imaging type, and 4. evaluation method—and analyzed. Since 2003, related studies have been conducted and published, and the number of papers has increased over the years and begun to decrease since 2016. The most commonly used method of noise reduction algorithm for light microscopy images was wavelet-transform-based technology, which was mostly applied in basic systems. In addition, research on the real experimental image was performed more actively than on the simulation condition, with the main case being to use the comparison parameter as an evaluation method. This systematic review is expected to be extremely useful in the future method of numerically analyzing the noise reduction efficiency of light microscopy images.

목차

Ⅰ. Introduction

Ⅱ. Materials and Methods

Ⅲ. Results and Discussion

Ⅳ. Conclusion

REFERENCES

키워드

체계적 고찰 광학 현미경 영상 화질 노이즈 제거 알고리즘 정량적 및 비교 평가 인자들 Systematic review Light microscopy Image quality Noise reduction algorithm Quantitative and comparison evaluation parameters