4.6 Article

Simulation Assisted Nanoscale Imaging of Single Live Cells with Scanning Electrochemical Microscopy

期刊

ADVANCED THEORY AND SIMULATIONS
卷 2, 期 2, 页码 -

出版社

WILEY-V C H VERLAG GMBH
DOI: 10.1002/adts.201800124

关键词

3D finite element analysis simulations; membrane permeability; scanning electrochemical microscopy; single live cell imaging; surface topography

资金

  1. Natural Sciences and Engineering Research Council of Canada (NSERC) [DG RGPIN-2013-201697]
  2. Canada Foundation of Innovation/Ontario Innovation Trust (CFI/OIT) [9040]
  3. Premier's Research Excellence Award (PREA, 2003)
  4. Canada Institute of Photonics Innovation
  5. Ontario Photonics Consortium
  6. University of Western Ontario

向作者/读者索取更多资源

Nanoelectrodes have become an area of significant interest in recent years, which provide a number of advantages for imaging with scanning electrochemical microscopy (SECM). Since the resolution of SECM imaging is directly dependent on the size of the electrode probe, the reduced surface area of nanoelectrodes allows for the imaging of smaller sample features, or more localized electrochemical reactivity. Nanoelectrodes with a radius of 130nm are employed to image the surface of single live cells. The use of nanoscale imaging, however, introduces additional complexity into the simulation modeling of the cell surface geometry and electrochemical reactivity. The creation of tailored simulation models accounting for these specific physical conditions is utilized to overcome the additional challenges to the characterization of the electrochemical system. Methodologies for the experimental mapping and creation of 3D simulation models of single live cells have been well developed, which are presented herein. These developments include characterization of cell surface topography, tip-to-cell distance, as well as cell membrane permeability quantification. The advanced quantification of the complex nanoscale imaging of single live cells assisted by theoretical simulations provides increased versatility to SECM as an already powerful bioanalytical tool.

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