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10.1038/srep12365 http://scihub22266oqcxt.onion/10.1038/srep12365 C4512010!4512010!26201451     free     free     free Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sci+Rep 2015 ; 5 (ä): ä Nephropedia Template TP {{tp|p=26201451|t=2015. Localization-based full-field microscopy: how to attain super-resolved images |pdf=|usr=}}{{26201451}} gab.com Text Localization-based full-field microscopy: how to attain super-resolved images JO: Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=26201451 #FOAvip In this study, we have investigated localization-based microscopy to achieve full-field super-resolution. For localized sampling, we have considered combs consisting of unit pulses and near-fields localized by surface nanoapertures. Achievable images after reconstruction were assessed in terms of peak signal-to-noise ratio (PSNR). It was found that spatial switching of individual pulses may be needed to break the diffraction limit. Among the parameters, the resolution was largely determined by sampling period while the effect of width of a sampling pulse on PSNR was relatively limited. For the range of sampling parameters that we considered, the highest resolution achievable is estimated to be 70?nm, which can further be enhanced by optimizing the localization parameters. Twit Text FOAVip Localization-based full-field microscopy: how to attain super-resolved images ????Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=26201451 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26201451 #FOAvip English Wikipedia <ref>{{Cite pmid|26201451}}</ref> Localization-based full-field microscopy: how to attain super-resolved images #MMPMID26201451 Son T; Lee W; Kim D Sci Rep 2015[]; 5 (ä): ä PMID26201451show ga In this study, we have investigated localization-based microscopy to achieve full-field super-resolution. For localized sampling, we have considered combs consisting of unit pulses and near-fields localized by surface nanoapertures. Achievable images after reconstruction were assessed in terms of peak signal-to-noise ratio (PSNR). It was found that spatial switching of individual pulses may be needed to break the diffraction limit. Among the parameters, the resolution was largely determined by sampling period while the effect of width of a sampling pulse on PSNR was relatively limited. For the range of sampling parameters that we considered, the highest resolution achievable is estimated to be 70?nm, which can further be enhanced by optimizing the localization parameters. äLocalization-based full-field microscopy: how to attain super-resolved(epmc).pdf DeepDyve Pubget Overpricing