https://scholars.lib.ntu.edu.tw/handle/123456789/635123
標題: | Boundary-Preserved Deep Denoising of Stochastic Resonance Enhanced Multiphoton Images | 作者: | Niu, Sheng-Yong Guo, Lun-Zhang Li, Yue Zhang, Zhiming TZUNG-DAU WANG Liu, Kai-Chun Li, You-Jin Tsao, Yu Liu, Tzu-Ming |
關鍵字: | Third harmonic generation; deep denoising autoencoder; three-photon fluorescence | 公開日期: | 2022 | 卷: | 10 | 起(迄)頁: | 1800812 | 來源出版物: | IEEE journal of translational engineering in health and medicine | 摘要: | With the rapid growth of high-speed deep-tissue imaging in biomedical research, there is an urgent need to develop a robust and effective denoising method to retain morphological features for further texture analysis and segmentation. Conventional denoising filters and models can easily suppress the perturbative noise in high-contrast images; however, for low photon budget multiphoton images, a high detector gain will not only boost the signals but also bring significant background noise. In such a stochastic resonance imaging regime, subthreshold signals may be detectable with the help of noise, meaning that a denoising filter capable of removing noise without sacrificing important cellular features, such as cell boundaries, is desirable. |
URI: | https://pubmed.ncbi.nlm.nih.gov/36304843/ https://scholars.lib.ntu.edu.tw/handle/123456789/635123 |
ISSN: | 2168-2372 | DOI: | 10.1109/JTEHM.2022.3206488 |
顯示於: | 醫學系 |
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