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Related Concept Videos

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Imaging Biological Samples with Optical Microscopy

Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
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Related Experiment Video

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A Dorsal Skinfold Window Chamber Tumor Mouse Model for Combined Intravital Microscopy and Magnetic Resonance Imaging in Translational Cancer Research
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Correlation mapping method for generating microcirculation morphology from optical coherence tomography (OCT)

Enock Jonathan1, Joey Enfield, Martin J Leahy

  • 1University of Limerick, Department of Physics, Castletroy, Limerick, Ireland. enock.jonathan@ul.ie

Journal of Biophotonics
|September 3, 2011
PubMed
Summary

This study introduces a novel software algorithm for optical coherence tomography (OCT) to map mouse brain microcirculation in vivo. The technique visualizes tiny blood vessels, aiding cardiovascular research and disease assessment.

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Published on: September 18, 2012

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Medical Imaging

Background:

  • Standard optical coherence tomography (OCT) is a non-invasive imaging technique.
  • Generating detailed vascular maps of the brain in vivo is crucial for understanding neurological conditions.
  • Current methods may have limitations in visualizing microcirculation morphology.

Purpose of the Study:

  • To develop and validate a software algorithm for in vivo microcirculation mapping of the mouse brain using OCT.
  • To assess the capability of the technique in estimating vessel geometry at bifurcations and along segments.
  • To explore potential applications in cardiovascular parameter measurements and vascular density assessment.

Main Methods:

  • Combined standard OCT with a novel software algorithm based on correlation statistics.
  • Captured OCT intensity images of the mouse brain in vivo, both trans-cranially and through a cranial window.
  • Analyzed images to reveal microcirculation morphology and estimate vessel geometry.

Main Results:

  • Successfully revealed microcirculation morphology in the mouse brain using the developed OCT-based technique.
  • Estimated vessel geometry at bifurcations and along segments down to mean diameters of approximately 24 μm.
  • Demonstrated the feasibility of in vivo imaging and analysis of cerebral microvasculature.

Conclusions:

  • The combined OCT and correlation statistic algorithm effectively visualizes mouse brain microcirculation in vivo.
  • The technique allows for detailed estimation of vessel geometry, including small vessels.
  • This method holds significant potential for cardiovascular research, volumetric flow measurements, and assessing vascular density in normal and diseased tissues.