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Intravital Video Microscopy Measurements of Retinal Blood Flow in Mice
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Vessel diameter measurement from intravital microscopy.

Jaesung Lee1, Artit C Jirapatnakul, Anthony P Reeves

  • 1School of Electrical and Computer Engineering, Cornell University, 357 Rhodes Hall, Ithaca, NY 14850, USA. jl569@cornell.edu

Annals of Biomedical Engineering
|March 13, 2009
PubMed
Summary

This study introduces a new automated algorithm for measuring blood vessel diameter in intravital microscopy videos. The feature-based tracking method offers a faster and more reliable alternative to manual measurements in microcirculation studies.

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Area of Science:

  • Physiology
  • Biomedical Engineering
  • Microscopy

Background:

  • Accurate measurement of blood vessel diameter is crucial in microcirculation studies.
  • Manual measurement techniques (electronic calipers, image shearing) are time-consuming and error-prone.
  • Automated methods are needed for faster and more reliable diameter quantification.

Purpose of the Study:

  • To present a novel feature-based tracking algorithm for automated blood vessel diameter measurement.
  • To enable accurate diameter tracking in intravital video microscopy image sequences.
  • To provide a reliable alternative to manual measurement methods.

Main Methods:

  • Development of a feature-based tracking algorithm for automated diameter measurement.
  • Tracking of vessel diameter throughout image sequences after initial marking.

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Last Updated: Jun 24, 2026

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  • Calibration of algorithm parameters using manual ground truth measurements from intravital videos.

    • Main Results:

    • The algorithm accurately measures blood vessel diameter in intravital microscopy image sequences.
    • Experiments with synthetic and real microscopy videos (confocal and non-confocal) validate the accuracy.
    • The automated method demonstrates improved speed and reliability over manual techniques.

    Conclusions:

    • The proposed feature-based tracking algorithm provides an accurate and efficient solution for automated blood vessel diameter measurement.
    • This automated approach enhances the reliability of microcirculation studies.
    • The method is suitable for various intravital video microscopy applications.