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Progress in quantitative single-molecule localization microscopy.

H Deschout1, A Shivanandan, P Annibale

  • 1Laboratory of Nanoscale Biology, Institute of Bioengineering, School of Engineering, EPFL, Lausanne, Switzerland.

Histochemistry and Cell Biology
|April 22, 2014
PubMed
Summary
This summary is machine-generated.

Single-molecule localization microscopy (SMLM) offers high-resolution protein imaging but requires corrections for errors like overcounting and drift. This review details methods to improve quantitative accuracy in SMLM, particularly photoactivated localization microscopy (PALM).

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Area of Science:

  • Cell Biology
  • Microscopy
  • Biophysics

Background:

  • Single-molecule localization microscopy (SMLM) enables high-resolution imaging of intracellular proteins.
  • SMLM applications include protein counting, spatial organization analysis, and inter-protein interactions.
  • Quantitative SMLM requires corrections for inherent errors.

Purpose of the Study:

  • To review recent advancements in correcting errors in quantitative SMLM.
  • To provide examples of these corrections in the context of photoactivated localization microscopy (PALM).

Main Methods:

  • Review of literature on quantitative SMLM error correction.
  • Focus on methods addressing photoblinking, incomplete photoconversion, localization uncertainty, sample drift, and image registration.
  • Case studies using photoactivated localization microscopy (PALM).

Main Results:

  • Identified key sources of error in quantitative SMLM.
  • Highlighted recent strategies to mitigate these errors.
  • Demonstrated improved quantitative accuracy in PALM through error correction.

Conclusions:

  • Accurate quantitative SMLM is achievable with appropriate error correction strategies.
  • These advancements enhance the utility of SMLM for understanding cellular processes.
  • Further development in error correction will improve SMLM's impact on biological research.