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Super-resolution Fluorescence Microscopy

Super-resolution Fluorescence Microscopy

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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Related Experiment Video

Updated: Jun 20, 2026

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers

Published on: July 17, 2012

Data specific spatially varying regularization for multimodal fluorescence molecular tomography.

Damon Hyde¹, Eric L Miller, Dana H Brooks

¹Computational Radiology Laboratory, Children's Hospital Boston, Harvard Medical School, Boston, MA 02115 USA. damon.hyde@childrens.harvard.edu

IEEE Transactions on Medical Imaging

|September 18, 2009

Summary

This summary is machine-generated.

This study introduces a novel two-step method to improve fluorescence molecular tomography (FMT) imaging. By using anatomical data to guide regularization, it enhances image resolution and accuracy for in vivo biodistribution studies.

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Correlative Microscopy for 3D Structural Analysis of Dynamic Interactions

Correlative Microscopy for 3D Structural Analysis of Dynamic Interactions

Published on: June 24, 2013

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Last Updated: Jun 20, 2026

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers

Published on: July 17, 2012

Correlative Microscopy for 3D Structural Analysis of Dynamic Interactions

Correlative Microscopy for 3D Structural Analysis of Dynamic Interactions

Published on: June 24, 2013

Area of Science:

Biomedical Imaging
Molecular Imaging
Tomography

Background:

Fluorescence molecular tomography (FMT) enables in vivo imaging of fluorescence biodistributions.
The inherent ill-posed nature of FMT reconstruction limits resolution and accuracy.
Integrating anatomical priors from modalities like MRI or CT can improve FMT performance.

Purpose of the Study:

To develop a novel two-step approach for incorporating structural priors into FMT.
To overcome limitations of traditional regularization methods in FMT.
To improve the accuracy and resolution of FMT reconstructions without introducing bias.

Main Methods:

A two-step inversion strategy was employed to integrate anatomical information.
An initial low-dimensional inverse problem was solved using anatomical data.
The solution informed a spatially varying regularization matrix for the full resolution problem.

Main Results:

The proposed method demonstrated significant improvements in image quality for both simulated and experimental FMT data.
The customized regularization, guided by data, outperformed traditional techniques.
Enhanced resolution and accuracy in fluorescence biodistribution localization were achieved.

Conclusions:

The novel two-step approach effectively integrates structural priors for improved FMT.
Data-guided, spatially varying regularization enhances FMT accuracy and resolution.
This method offers a more robust and less biased approach to FMT image reconstruction.