Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText.
Kick-your-searchterm to multiple Engines kick-your-query now !>
A dictionary by aggregated review articles of nephrology, medicine and the life sciences
Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

suck abstract from ncbi


10.1038/s41598-018-24033-7

http://scihub22266oqcxt.onion/10.1038/s41598-018-24033-7
suck pdf from google scholar
C5913229!5913229 !29686251
unlimited free pdf from europmc29686251
    free
PDF from PMC    free
html from PMC    free

suck abstract from ncbi


Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\29686251 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117
pmid29686251
      Sci+Rep 2018 ; 8 (1 ): 5700
Nephropedia Template TP

gab.com Text

Twit Text FOAVip

Twit Text #

English Wikipedia


  • Example-Based Super-Resolution Fluorescence Microscopy #MMPMID29686251
  • Jia S ; Han B ; Kutz JN
  • Sci Rep 2018[Apr]; 8 (1 ): 5700 PMID29686251 show 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.
  • |Algorithms [MESH]
  • |Animals [MESH]
  • |Cell Line [MESH]
  • |Chlorocebus aethiops [MESH]
  • |Image Processing, Computer-Assisted/*methods [MESH]
  • |Intermediate Filaments/*ultrastructure [MESH]
  • |Markov Chains [MESH]
  • |Microscopy, Fluorescence/*methods [MESH]
  • |Microtubules/*ultrastructure [MESH]
  • |Normal Distribution [MESH]


  • DeepDyve
  • Pubget Overpricing
  • suck abstract from ncbi

    Linkout box