Low-excitation Fluorescence Image Enhancement Using Transformer-based Structure Extraction

We demonstrate the use of Transformer-based structure extractor in low-excitation fluorescence image enhancement. SSIM (Structural Similarity Index Measure) and PSNR (Peak Signal-to-Noise Ratio) is shown to outperform the state-of-the-art method.

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Publication Details

Published
2024-08-04
DOI
https://doi.org/10.1109/cleo-pr60912.2024.10676921
Primary Topic
Spectroscopy Techniques in Biomedical and Chemical Research
Type
article
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article

Low-excitation Fluorescence Image Enhancement Using Transformer-based Structure Extraction

Zezheng Zhang, Kenneth K. Wong
Spectroscopy Techniques in Biomedical and Chemical Research
article

Low-excitation Fluorescence Image Enhancement Using Transformer-based Structure Extraction

Zezheng Zhang, Kenneth K. Wong
article en

Abstract

We demonstrate the use of Transformer-based structure extractor in low-excitation fluorescence image enhancement. SSIM (Structural Similarity Index Measure) and PSNR (Peak Signal-to-Noise Ratio) is shown to outperform the state-of-the-art method.

University of Hong Kong (HK)
Openalex Percentile: Top 90%
Spectroscopy Techniques in Biomedical and Chemical Research
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Low-excitation Fluorescence Image Enhancement Using Transformer-based Structure Extraction — Zezheng Zhang, Kenneth K. Wong · (2024) | TGRS Research Map | TGRS