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10.1038/s41598-018-24033-7 http://scihub22266oqcxt.onion/10.1038/s41598-018-24033-7 C5913229!5913229!29686251     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sci+Rep 2018 ; 8 (ä): ä Nephropedia Template TP {{tp|p=29686251|t=2018. Example-Based Super-Resolution Fluorescence Microscopy |pdf=|usr=}}{{29686251}} gab.com Text Example-Based Super-Resolution Fluorescence Microscopy JO: Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=29686251 #FOAvip Capturing 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. Twit Text FOAVip Example-Based Super-Resolution Fluorescence Microscopy ????Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=29686251 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=29686251 #FOAvip English Wikipedia <ref>{{Cite pmid|29686251}}</ref> Example-Based Super-Resolution Fluorescence Microscopy #MMPMID29686251 Jia S; Han B; Kutz JN Sci Rep 2018[]; 8 (ä): ä PMID29686251show ga Capturing 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. äExample-Based Super-Resolution Fluorescence Microscopy (epmc).pdf DeepDyve Pubget Overpricing