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Related Experiment Video

Updated: May 1, 2026

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Pulse-waveform analysis of normal population using laser speckle flowgraphy.

Satoru Tsuda1, Hiroshi Kunikata, Masahiko Shimura

  • 1Department of Ophthalmology, Tohoku University Graduate School of Medicine , Sendai, Miyagi , Japan and.

Current Eye Research
|April 23, 2014
PubMed
Summary

Laser speckle flowgraphy (LSFG) reveals age-related changes in ocular blood flow pulse waveforms. The falling rate in the tissue area is a strong, independent indicator of age and a potential biomarker for microcirculation changes.

Keywords:
BOTLaser speckle flowgraphyfalling ratemean blur ratenormal populationocular blood flowpulse-waveform analysisskew

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Area of Science:

  • Ophthalmology
  • Biomedical Engineering
  • Physiology

Background:

  • Ocular blood flow analysis is crucial for understanding microcirculation.
  • Laser speckle flowgraphy (LSFG) offers a non-invasive method to assess dynamic changes in ocular blood flow.
  • The pulse waveform of ocular blood flow contains valuable physiological information.

Purpose of the Study:

  • To investigate the relationship between ocular blood flow pulse waveform parameters and clinical parameters, with a focus on age.
  • To determine if LSFG can identify age-dependent alterations in the optic nerve head (ONH) microcirculation.

Main Methods:

  • Sixty healthy subjects underwent LSFG to measure pulse waveform parameters (MBR, skew, BOS, BOT, rising/falling rates) in the ONH tissue area and overall.
  • Fifteen clinical parameters, including age, blood pressure, triglyceride, and creatinine levels, were recorded.
  • Statistical analysis, including correlation and stepwise multiple regression, was performed to identify significant relationships.

Main Results:

  • Skew, blowout time (BOT), and falling rate of the pulse waveform showed strong correlations with age (|r| > 0.60).
  • These correlations were particularly significant in the ONH tissue area.
  • Tissue area falling rate was identified as an independent factor indicating age, and vice versa.

Conclusions:

  • LSFG-derived pulse waveform parameters, especially the falling rate in the tissue area, are significantly correlated with age.
  • The tissue area falling rate may serve as a novel biomarker for age-dependent changes in ocular microcirculation.