Jia, ShuHan, BoranKutz, J. Nathan2018-05-302018Jia, Shu, Boran Han, and J. Nathan Kutz. 2018. “Example-Based Super-Resolution Fluorescence Microscopy.” Scientific Reports 8 (1): 5700. doi:10.1038/s41598-018-24033-7. http://dx.doi.org/10.1038/s41598-018-24033-7.http://nrs.harvard.edu/urn-3:HUL.InstRepos:37068325Capturing biological dynamics with high spatiotemporal resolution demands the advancement in imaging technologies. Super-resolution fluorescence microscopy offers spatial resolution surpassing the diffraction limit to resolve near-molecular-level details. While various strategies have been reported to improve the temporal resolution of super-resolution imaging, all super-resolution techniques are still fundamentally limited by the trade-off associated with the longer image acquisition time that is needed to achieve higher spatial information. Here, we demonstrated an example-based, computational method that aims to obtain super-resolution images using conventional imaging without increasing the imaging time. With a low-resolution image input, the method provides an estimate of its super-resolution image based on an example database that contains super- and low-resolution image pairs of biological structures of interest. The computational imaging of cellular microtubules agrees approximately with the experimental super-resolution STORM results. This new approach may offer potential improvements in temporal resolution for experimental super-resolution fluorescence microscopy and provide a new path for large-data aided biomedical imaging.en-USJournal Article2018-05-3010.1038/s41598-018-24033-7