Chapter

Nano-Biotechnology for Biomedical and Diagnostic Research

Volume 733 of the series Advances in Experimental Medicine and Biology pp 17-21

Date:

Superresolution Optical Fluctuation Imaging (SOFI)

  • Thomas DertingerAffiliated withDepartment of Chemistry and Biochemistry, University of California Los Angeles Email author 
  • , Ryan ColyerAffiliated withDepartment of Chemistry and Biochemistry, University of California Los Angeles
  • , Robert VogelAffiliated withDepartment of Chemistry and Biochemistry, University of California Los Angeles
  • , Mike HeilemannAffiliated withDepartment of Physics, Applied Laser Physics, Bielefeld University
  • , Markus SauerAffiliated withDepartment of Biotechnology and Biophysics, Julius-Maximilians-Universität Würzburg
  • , Jörg EnderleinAffiliated withIII Institute of Physics, Georg August University
  • , Shimon WeissAffiliated withDepartment of Chemistry and Biochemistry, University of California Los AngelesDepartment of Physiology, University of California Los Angeles, UCLACalifornia NanoSystems Institute, University of California Los Angeles, UCLA

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Abstract

Superresolution microscopy has shifted the limits for fluorescence microscopy in cell ­biology. The possibility to image cellular structures and dynamics of fixed and even live cells and organisms at resolutions of several nanometers holds great promise for future biological discoveries. We recently introduced a novel superresolution technique, based on the statistical evaluation of stochastic fluctuations stemming from single emitters, dubbed “superresolution optical fluctuation ­imaging” (SOFI). In comparison to previously introduced superresolution methods, SOFI exhibits favorable attributes such as simplicity, affordability, high speed, and low levels of light exposure. Here we summarize the basic working principle and recent advances.

Keywords

Superresolution Statistical analysis Correlation function