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bioRxiv · 10.1101/866822

Deep learning enables structured illumination microscopy with low light levels and enhanced speed

Jin, L.·Liu, B.·Zhao, F.·Hahn, S.·Dong, B.·Song, R.·Elston, T. C.·Xu, Y.·Hahn, K. M.
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Abstract

Using deep learning to augment structured illumination microscopy (SIM), we obtained a fivefold reduction in the number of raw images required for super-resolution SIM, and generated images under extreme low light conditions (100X fewer photons). We validated the performance of deep neural networks on different cellular structures and achieved multi-color, live-cell super-resolution imaging with greatly reduced photobleaching.

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Jin, L., Liu, B., Zhao, F., Hahn, S., Dong, B., Song, R., Elston, T. C., Xu, Y., Hahn, K. M.. 2019-12-05. Deep learning enables structured illumination microscopy with low light levels and enhanced speed. https://doi.org/10.1101/866822

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