Denoising results for in vivo venule images in the cremaster muscles of mice. (IMAGE)
Caption
In PhotoniX, researchers report a self-supervised deep learning method that denoises dynamic fluorescence images in vivo without requiring clean training data. The figure shows in vivo venule images in the cremaster muscles of mice (red: myeloid cells; green: leukocytes and platelets), comparing raw noisy images (left) and denoised results using the TeD model (right). Insets show magnified time-lapse frames highlighting moving blood cells. Scale bars, 50 μm.
Credit
W. Lee et al. 2025 Springer Nature Publishing Group (DOI 10.1186/s43074-025-00173-8)
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