Deblurring near infrared fluorescence images with CycleGAN

Zhuoran Ma, Haotian Du

semanticscholar(2020)

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摘要
Compared to other imaging modalities, fluorescence imaging provides benefits of real-time image acquisition with high spatial resolution via non-radioactive optical system. However, the resolution has been limited mainly due to photon scattering, absorption and autofluorescence of biological tissues. In this project, we used CycleGAN to transform a scattering limited traditional near infrared window(NIR-I) fluorescence image to a high-resolved long wavelength (NIR-IIb) image.
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