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Protein Dynamics in Living Cells01:19

Protein Dynamics in Living Cells

Different fluorescence-based techniques are used to study the protein dynamics in living cells. These techniques include FRAP, FRET, and PET.
Fluorescent recovery after photobleaching (FRAP) is a fluorescent-protein-based detection technique used to quantify protein movement rates within the cell. This method exposes a small portion of the cell to an intense laser beam. The laser beam causes permanent photobleaching of the fluorophore-tagged proteins in the exposed region. As the bleached...

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Fluorescence Lifetime Imaging of Molecular Rotors in Living Cells
09:45

Fluorescence Lifetime Imaging of Molecular Rotors in Living Cells

Published on: February 9, 2012

Fluorescence lifetime imaging from time resolved measurements using a shape-based approach.

Diego Alvarez1, Paúl Medina, Miguel Moscoso

  • 1Gregorio Millán Institute, Universidad Carlos III de Madrid, Avda. de Universidad 30, 28911 Leganés, Spain. jdiego,pmedina,moscoso@math.uc3m.es

Optics Express
|May 26, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces a new fluorescent tomography algorithm for precise imaging of fluorophore distribution and fluorescence lifetimes. The method enhances image resolution and boundary definition, even in noisy biological tissue samples.

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Area of Science:

  • Biomedical Optics
  • Fluorescence Imaging
  • Tomography

Background:

  • Accurate spatial distribution and fluorescence lifetime estimation of fluorophores are crucial for biological tissue imaging.
  • Traditional pixel-based imaging techniques face limitations in resolution and boundary definition.

Purpose of the Study:

  • To develop a novel fluorescent tomography algorithm for improved imaging of fluorophore distribution and fluorescence lifetimes.
  • To enhance image resolution and boundary definition compared to existing methods.

Main Methods:

  • Hybridization of the level set technique for fluorophore distribution recovery.
  • Integration of a gradient method for fluorescence lifetime estimation.
  • Utilizes surface time-resolved fluorescence measurements.

Main Results:

  • The algorithm accurately reconstructs complex fluorophore distributions in centimeter-thick biological tissues.
  • Demonstrates robustness against data noise and background fluorescence.
  • Offers improved image resolution and well-defined boundaries compared to pixel-based methods.

Conclusions:

  • The novel fluorescent tomography algorithm provides accurate and high-resolution imaging of fluorophores in biological tissues.
  • This method presents a significant advancement over traditional imaging techniques for fluorescence lifetime and distribution analysis.