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Related Concept Videos

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Related Experiment Video

Updated: Apr 7, 2026

Multi-color Localization Microscopy of Single Membrane Proteins in Organelles of Live Mammalian Cells
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Artifacts in single-molecule localization microscopy.

Anne Burgert1, Sebastian Letschert, Sören Doose

  • 1Department of Biotechnology and Biophysics, University Würzburg, Am Hubland, 97074, Würzburg, Germany.

Histochemistry and Cell Biology
|July 4, 2015
PubMed
Summary
This summary is machine-generated.

Achieving super-resolution microscopy is accessible, but user errors can create artificial membrane clusters. Careful analysis of single-molecule data is crucial for reliable membrane protein distribution imaging.

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Area of Science:

  • Biophysics
  • Cell Biology
  • Microscopy

Background:

  • Single-molecule localization microscopy (SMLM) offers molecular resolution imaging.
  • Commercial SMLM instruments and open-source software have democratized super-resolution techniques.
  • Despite advances, SMLM is susceptible to user-induced artifacts impacting data interpretation.

Purpose of the Study:

  • Investigate artifacts in super-resolution images of membrane proteins.
  • Determine the influence of irradiation intensity, label density, and photoswitching on image fidelity.
  • Identify conditions leading to artificial cluster formation in SMLM.

Main Methods:

  • Employed direct stochastic optical reconstruction microscopy (dSTORM).
  • Systematically varied irradiation intensity, emitter density, and photoswitching rates.
  • Analyzed reconstructed super-resolution images of membrane protein distributions.

Main Results:

  • High emitter densities combined with suboptimal photoswitching rates generate spurious membrane clusters.
  • Two-dimensional imaging of 3D membrane structures is particularly prone to artifacts.
  • Artificial clusters appear in microvilli, filopodia, and vesicles under specific conditions.

Conclusions:

  • User-generated artifacts can significantly distort perceived membrane protein organization.
  • Critical evaluation of raw single-molecule movies is essential for validating super-resolution data.
  • Reliability in membrane cluster analysis depends on meticulous quality control of SMLM image acquisition and reconstruction.