Imaging cells at the nanoscale

Int J Biochem Cell Biol. 2013 Aug;45(8):1669-78. doi: 10.1016/j.biocel.2013.05.010. Epub 2013 May 18.

Abstract

Recently developed super-resolution techniques in optical microscopy have pushed the length scale at which cellular structure can be observed down to tens of nanometres. A wide array of methods have been described that fall under the umbrella term of super-resolution microscopy and each of these methods has different requirements for acquisition speed, experimental complexity, fluorophore requirements and post-processing of data. For example, experimental complexity can be decreased by using a standard widefield microscope for acquisition, but this requires substantial processing of the data to extract the super-resolution information. These powerful techniques are bringing new insights into the nanoscale structure of sub-cellular assemblies such as podosomes, which are an ideal system to observe with super-resolution microscopy as the structures are relatively thin and they form and dissociate over a period of several minutes. Here we discuss the major classes of super-resolution microscopy techniques, and demonstrate their relative performance by imaging podosomes.

Keywords: 3B; Bayesian analysis of blinking and bleaching; Localisation microscopy; PALM; PSF; Podosome; SIM; SOFI; SSIM; STED; STORM; Stimulated emission depletion microscopy; Structured illumination microscopy; Super-resolution microscopy; TIRF; dSTORM; direct stochastic optical reconstruction microscopy; photoactivatable localisation microscopy; point spread function; saturated structured illumination microscopy; stimulated emission depletion microscopy; stochastic optical reconstruction microscopy; structured illumination microscopy; super-resolution optical fluctuation imaging; total internal reflectance microscopy.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Animals
  • Cells / cytology*
  • Humans
  • Microscopy
  • Molecular Imaging / methods*
  • Nanotechnology / methods*