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Updated: Feb 22, 2026

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Four-Channel Super-Resolution Imaging by 3-D Structured Illumination.

Ulrike Engel1

  • 1Nikon Imaging Center at Heidelberg University and Centre for Organismal Studies (COS), Heidelberg University, Im Neuenheimer Feld 267, Heidelberg, 69121, Germany. ulrike.engel@bioquant.uni-heidelberg.de.

Methods in Molecular Biology (Clifton, N.J.)
|September 20, 2017
PubMed
Summary

Structured illumination microscopy (SIM) enhances cellular component localization analysis by doubling resolution. This protocol details 4-channel SIM for precise adhesion protein mapping in fixed cells.

Keywords:
ActinChromatic aberrationColocalizationCytoskeletonFluorescent proteinFocal adhesionStructured-illumination microscopySuper-resolution

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Area of Science:

  • Cell biology
  • Microscopy
  • Biophysics

Background:

  • Multichannel imaging is crucial for studying cellular functional ensembles.
  • Diffraction-limited microscopy resolution (200x500 nm) is insufficient for precise protein localization, potentially including hundreds of proteins.
  • Higher resolution is needed for accurate colocalization studies.

Purpose of the Study:

  • To present a protocol for high-resolution, 4-channel imaging using structured illumination microscopy (SIM).
  • To enable more precise investigation of relative localization of cellular components, specifically adhesion proteins.
  • To address the limitations of diffraction-limited microscopy in cellular analysis.

Main Methods:

  • Utilized structured illumination microscopy (SIM) for 4-channel imaging, achieving a twofold resolution increase.
  • Employed immunofluorescence and fluorescent proteins for labeling adhesion proteins in adherent, fixed cells.
  • Developed and discussed methods for achieving necessary fluorophore brightness and data processing for colocalization analysis.

Main Results:

  • Demonstrated a protocol for enhanced resolution imaging in fixed cells.
  • Successfully identified the localization of adhesion proteins with improved precision.
  • Provided insights into optimizing labeling and data processing for SIM-based colocalization.

Conclusions:

  • Structured illumination microscopy (SIM) significantly improves the resolution of multichannel imaging for cellular component analysis.
  • The presented protocol facilitates accurate mapping of protein localization and colocalization in cells.
  • This method is valuable for investigating functional protein ensembles with greater detail.