Deep learning allows enhanced detection of surface plasmon scattering (Conference Presentation)

Gwiyeong Moon; Taehwang Son; Hongki Lee; Donghyun Kim

doi:10.1117/12.2544169

10 March 2020 Deep learning allows enhanced detection of surface plasmon scattering (Conference Presentation)

Gwiyeong Moon, Taehwang Son, Hongki Lee, Donghyun Kim

Proceedings Volume 11257, Plasmonics in Biology and Medicine XVII; 112570N (2020) https://doi.org/10.1117/12.2544169
Event: SPIE BiOS, 2020, San Francisco, California, United States

Abstract

We investigate a way to detect images of surface plasmon scattering using deep learning approach. Unlike fluorescence imaging, the image of surface plasmon scattering shows much worse resolution due to propagation length of surface plasmon polariton. In this work, deep learning approach is taken to address this issue and to discriminate multiple target objects under complex and noisy environment. Conventional detection method based on fourier filtering and deconvolution was employed to compare the performance of the proposed method. It was shown that deep learning improves the accuracy by about six times, and especially more useful in noisy environment.

Conference Presentation

Citation Download Citation

Gwiyeong Moon, Taehwang Son, Hongki Lee, and Donghyun Kim "Deep learning allows enhanced detection of surface plasmon scattering (Conference Presentation)", Proc. SPIE 11257, Plasmonics in Biology and Medicine XVII, 112570N (10 March 2020); https://doi.org/10.1117/12.2544169

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