Evidence map›Paper›PMID 33959306›Full record

ArticleRoyal Society open science2021

Enhancement of signal-to-noise ratio for fluorescence endoscope image based on fast digital lock-in algorithm.

Huiquan Wang, Meng Hu, Fang Xia, Meng Guo, Shengzhao Zhang, Zhe Zhao, Guang Han, Jinhai Wang

Abstract read
In one paragraph

Article in Royal Society open science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Huiquan WangSchool of Life Sciences, Tiangong University, Tianjin 300387, People's Republic of China.ORCID 0000-0002-7896-303X
Meng HuSchool of Electronic and Information Engineering, Tiangong University, Tianjin 300387, People's Republic of China.ORCID 0000-0001-5571-4332
Fang XiaSchool of Life Sciences, Tiangong University, Tianjin 300387, People's Republic of China.
Meng GuoSchool of Life Sciences, Tiangong University, Tianjin 300387, People's Republic of China.
Shengzhao ZhangSchool of Biomedical Engineering, Anhui Medical University, Hefei 230032, People's Republic of China.
Zhe ZhaoSchool of Electronic and Information Engineering, Tiangong University, Tianjin 300387, People's Republic of China.
Guang HanSchool of Life Sciences, Tiangong University, Tianjin 300387, People's Republic of China.
Jinhai WangSchool of Life Sciences, Tiangong University, Tianjin 300387, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, the signal-to-noise ratios (SNR) of two image channels were enhanced with the fast digital lock-in algorithm. In order to simultaneously improve the quality of white and fluorescence images obtained by fluorescence endoscope, and improve the SNR to achieve a better image processing effect, two sources of white light and near-infrared light of a fluorescence endoscope were modulated, then the acquired images were demodulated into white and fluorescence images. A fluorescent endoscope experimental platform was setup to acquire endoscopic images of a target dyed by indocyanine green. The experimental results showed that the SNR of white and fluorescent images without the lock-in algorithm were 36.56 dB and 33.47 dB, respectively. However, with the lock-in algorithm, the SNR of white and fluorescent images were 39.54 dB and 35.70 dB, respectively. The SNR of white and fluorescent images was increased by 8.2% and 6.7%, respectively, by appling the digital lock-in algorithm. Therefore, this novel fluorescence endoscope based on the fast digital lock-in algorithm can rapidly and simultaneously obtain two-channel images of white light and fluorescence, effectively enhance the SNR of white and fluorescent images, and improve the imaging quality.

Indexed as

fast digital lock-in algorithmfluorescence endoscopeimage SNRtumour

Identifiers

PMID33959306
PMCPMC8074948

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