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Related Concept Videos

Super-resolution Fluorescence Microscopy01:37

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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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High-plex Imaging using Spectral Confocal Microscopy to Minimize Non-specific Tissue Fluorescence
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Super-Resolution Imaging and Shared Management: A Protocol for Confocal Microscopy with Multiplex Detection.

Wei Yin1, Guifeng Xiao1, Sanhua Fang1

  • 1Core Facilities, Zhejiang University School of Medicine.

Journal of Visualized Experiments : Jove
|March 16, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces an accessible super-resolution microscopy (SRM) protocol using a laser-scanning confocal platform. It enables fast, high-resolution, low-phototoxicity nanoscale imaging for life sciences research.

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Area of Science:

  • * Life Sciences
  • * Microscopy
  • * Cell Biology

Background:

  • * Conventional light microscopy is limited by diffraction, hindering nanoscale visualization.
  • * Advanced super-resolution microscopy (SRM) techniques (STED, PALM/STORM, SIM) face adoption barriers like phototoxicity and complexity.
  • * There is a need for user-friendly, high-resolution imaging solutions.

Purpose of the Study:

  • * To present a comprehensive protocol for integrating SRM with a laser-scanning confocal platform.
  • * To enable a seamless transition between confocal and super-resolution imaging.
  • * To provide a user-friendly method for fast, high-resolution, low-phototoxicity imaging.

Main Methods:

  • * Utilized a laser-scanning confocal microscope equipped with a multiplexed super-resolution detector.
  • * Developed a protocol for multimodal imaging, including multicolor fluorescence, DIC, 3D reconstruction, time-lapse, and tiling.
  • * Employed computational processing for image reconstruction and analysis.

Main Results:

  • * Achieved a lateral resolution of approximately 120 nm in super-resolution modes, a two-fold improvement over diffraction-limited microscopy.
  • * Demonstrated a 4-8 fold enhancement in resolution and signal-to-noise ratio compared to standard confocal imaging on the same platform.
  • * Enabled fast, high-resolution, and low-phototoxicity imaging of subcellular structures.

Conclusions:

  • * The integrated protocol offers an accessible and straightforward approach to advanced super-resolution imaging.
  • * This method significantly enhances nanoscale visualization capabilities for life sciences research.
  • * The protocol supports sustainable technology adoption through shared resource management considerations.