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Super-resolution Fluorescence Microscopy01:37

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.
Total Internal Reflection Fluorescence Microscopy01:05

Total Internal Reflection Fluorescence Microscopy

Total internal reflection fluorescence microscopy or TIRF is an advanced microscopic technique used to visualize fluorophores in samples close to a solid surface with a higher refractive index, such as a glass coverslip. TIRF only allows fluorophores in proximity to the solid surface to be excited. When light from a medium with a lower refractive index (such as air) hits the glass coverslip at a critical angle, the light undergoes total internal reflection stead of passing through the glass.

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Related Experiment Video

Updated: Jun 17, 2026

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers
12:24

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

Published on: July 17, 2012

Model reduction using wavelet multiresolution technique applied to fluorescence diffuse optical tomography.

Anne Landragin-Frassati1, Jean-Marc Dinten, Didier Georges

  • 1LETI-CEA-MINATEC, Micro-Technologies for Biology and Healthcare Division, 17 Rue des Martyrs, F-38054 Grenoble Cedex 9, France. a.frassati@wanadoo.fr

Applied Optics
|December 24, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces a wavelet multiresolution technique to accelerate fluorescence diffuse optical tomography computations. The method speeds up the analysis of molecular events for developing new therapies.

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Born Normalization for Fluorescence Optical Projection Tomography for Whole Heart Imaging
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Born Normalization for Fluorescence Optical Projection Tomography for Whole Heart Imaging

Published on: June 2, 2009

Related Experiment Videos

Last Updated: Jun 17, 2026

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers
12:24

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

Published on: July 17, 2012

Born Normalization for Fluorescence Optical Projection Tomography for Whole Heart Imaging
16:44

Born Normalization for Fluorescence Optical Projection Tomography for Whole Heart Imaging

Published on: June 2, 2009

Area of Science:

  • Biomedical Optics
  • Medical Imaging
  • Computational Science

Background:

  • Fluorescence diffuse optical tomography (FDOT) is crucial for investigating molecular events in therapeutic development.
  • The mathematical basis of FDOT involves solving partial differential equations, often using the time-consuming finite element method (FEM).

Purpose of the Study:

  • To reduce the computational complexity of FDOT models.
  • To accelerate the computation time associated with the finite element method in FDOT.

Main Methods:

  • Development and detailed presentation of a wavelet multiresolution technique.
  • Application of the wavelet method to simplify the mathematical model of FDOT.
  • Validation using both synthetic data and experimental results.

Main Results:

  • The wavelet multiresolution technique significantly reduces computation time for FDOT.
  • The method maintains accuracy in parameter estimation for molecular event investigation.
  • Successful validation confirms the method's efficacy on diverse datasets.

Conclusions:

  • Wavelet multiresolution analysis offers an efficient approach to FDOT.
  • This acceleration is vital for advancing therapeutic development studies.
  • The presented method enhances the practical applicability of FDOT in biomedical research.