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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 developed.

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Highly Resolved Intravital Striped-illumination Microscopy of Germinal Centers

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Published on: April 9, 2014

Super-resolution laser scanning microscopy through spatiotemporal modulation.

Ju Lu¹, Wei Min, José-Angel Conchello

¹Department of Molecular and Cellular Biology, Center for Brain Science, Department of Chemistry and Chemical Biology, Harvard University, USA.

|September 12, 2009

Summary

This summary is machine-generated.

Two new super-resolution microscopy techniques, Scanning Patterned Illumination (SPIN) and Scanning Patterned Detection (SPADE), enable high-resolution imaging of thick biological samples. These methods overcome limitations of traditional super-resolution imaging for multiphoton microscopy.

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Super-Resolution Imaging and Shared Management: A Protocol for Confocal Microscopy with Multiplex Detection

Super-Resolution Imaging and Shared Management: A Protocol for Confocal Microscopy with Multiplex Detection

Published on: February 24, 2026

Area of Science:

Optical Microscopy
Biophysics
Cell Biology

Background:

Super-resolution microscopy enhances biological imaging beyond the diffraction limit.
Structured illumination microscopy (SIM) doubles resolution but is limited to thin samples and incompatible with multiphoton excitation.
Existing methods struggle with thick samples and multiphoton processes required for deep tissue imaging.

Purpose of the Study:

To develop novel super-resolution imaging techniques for laser scanning microscopy.
To enable high-resolution, 3D optical sectioning of thick biological samples.
To overcome the limitations of wide-field SIM for multiphoton applications.

Main Methods:

Proposed two new schemes: Scanning Patterned Illumination (SPIN) and Scanning Patterned Detection (SPADE).
SPIN uses modulated excitation and temporally cumulative imaging with an array detector.
SPADE uses detection modulation and spatially cumulative imaging with a single-element detector.

Main Results:

Both SPIN and SPADE achieve super-resolution in laser scanning microscopy.
The techniques are compatible with multiphoton excitation, allowing imaging of thick samples.
Demonstrated 3D optical sectioning capabilities with significantly improved resolution.

Conclusions:

SPIN and SPADE represent advancements in super-resolution microscopy for thick samples.
These methods expand the applicability of super-resolution imaging to multiphoton laser scanning microscopy.
Offers new possibilities for high-resolution, deep-tissue biological imaging.