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Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

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Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...
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Related Experiment Video

Updated: Jan 17, 2026

Stereocilia Bundle Imaging with Nanoscale Resolution in Live Mammalian Auditory Hair Cells
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Stereocilia Bundle Imaging with Nanoscale Resolution in Live Mammalian Auditory Hair Cells

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Super-resolution imaging with nanopipettes.

Steffan Møller Sønderskov1,2, Lasse Hyldgaard Klausen1, Sebastian Amland Skaanvik1,3

  • 1Interdisciplinary Nanoscience Center (iNANO), Aarhus University, Aarhus, Denmark.

Npj Imaging
|September 22, 2025
PubMed
Summary
This summary is machine-generated.

Super-resolution scanning ion conductance microscopy (SR-SICM) enhances nanoscale imaging by overcoming resolution limits and artifacts. This novel technique enables routine single-molecule studies under physiological conditions.

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Area of Science:

  • Biophysics
  • Nanotechnology
  • Microscopy

Background:

  • Understanding nanoscale biological structures is crucial for function and dynamics.
  • Existing nanoscale imaging methods have limitations in resolution and artifact control.
  • Scanning ion conductance microscopy (SICM) offers potential but faces resolution challenges.

Purpose of the Study:

  • To develop a super-resolution technique for SICM to improve structural imaging.
  • To overcome the resolution limitations and artifacts inherent in conventional SICM.
  • To enable routine single-molecule studies at the nanoscale.

Main Methods:

  • Developed super-resolution SICM (SR-SICM) using image deconvolution.
  • Utilized simulated pipette point-spread functions for deconvolution.
  • Applied the technique to various nanostructures.

Main Results:

  • SR-SICM significantly surpassed the lateral resolution limit of conventional SICM.
  • The technique effectively mitigated imaging artifacts.
  • Demonstrated applicability to diverse nanostructures.

Conclusions:

  • SR-SICM provides enhanced nanoscale structural information.
  • The user-friendly software facilitates routine single-molecule imaging.
  • This advancement holds significant promise for biological sciences.