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Related Concept Videos

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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A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors
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Published on: May 30, 2016

Illumination pattern optimization for fluorescence tomography: theory and simulation studies.

Joyita Dutta1, Sangtae Ahn, Anand A Joshi

  • 1Signal and Image Processing Institute, Department of Electrical Engineering-Systems, University of Southern California, Los Angeles, CA 90089, USA.

Physics in Medicine and Biology
|May 4, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces a systematic method to design optimal illumination patterns for fluorescence tomography, enhancing 3D molecular imaging in small animals. The approach maximizes information content, improving image resolution and accuracy.

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Area of Science:

  • Biomedical imaging
  • Optical tomography
  • Molecular imaging

Background:

  • Fluorescence molecular tomography (FMT) enables 3D visualization of molecular targets in vivo.
  • The inherent ill-posed nature of FMT due to light scattering and absorption necessitates improved data acquisition.
  • Current illumination pattern selection in FMT is often suboptimal and lacks a systematic design.

Purpose of the Study:

  • To develop a systematic approach for designing optimal spatial illumination patterns in fluorescence tomography.
  • To maximize the information content in acquired FMT data by improving the conditioning of the Fisher information matrix.
  • To optimize source localization and the light propagation model for enhanced FMT reconstructions.

Main Methods:

  • Parameterization of spatial illumination patterns and formulation as a constrained optimization problem.
  • Utilizing the Fisher information matrix to guide the optimization of illumination patterns.
  • Employing singular value decomposition (SVD) to compute the regularized pseudoinverse matrix and reconstruct the point spread function.

Main Results:

  • Generation of optimal illumination patterns for various phantoms, including homogeneous shapes and a realistic mouse atlas.
  • Demonstrated improved conditioning of the Fisher information matrix through optimized patterns.
  • Evaluation of performance using singular value spectra and spatial resolution versus estimator variance plots.

Conclusions:

  • The proposed systematic method provides an optimal strategy for designing illumination patterns in fluorescence tomography.
  • Optimized patterns lead to enhanced information content and improved reconstruction quality in FMT.
  • This approach offers a significant advancement for accurate in vivo molecular imaging in preclinical research.