Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Four window differential capillary velocimetry.

M Intaglietta1, G A Breit, W R Tompkins

  • 1Department of AMES-Bioengineering, University of California, San Diego 92093.

Microvascular Research
|July 1, 1990
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Emergent behaviors in RBCs flows in micro-channels using digital particle image velocimetry.

Microvascular research·2017
Same author

Red blood cells flows in rectilinear microfluidic chip.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2016
Same author

Control of overweight and obesity in childhood through education in meal time habits. The 'good manners for a healthy future' programme.

Pediatric obesity·2015
Same author

Loss of function in heparan sulfate elongation genes EXT1 and EXT 2 results in improved nitric oxide bioavailability and endothelial function.

Journal of the American Heart Association·2014
Same author

BIOMEDICAL INSTRUMENTATION FOR PHYSIOLOGY.

A listing of research in the cardiovascular field·2014
Same author

Bio-Microfluidics Real-Time Monitoring Using CNN Technology.

IEEE transactions on biomedical circuits and systems·2013
Same journal

Association between retinal microcirculation and cardiac function: A cross-sectional study using OCTA.

Microvascular research·2026
Same journal

Microvascular dysfunction and neurovascular signalling impairment in diabetic silent myocardial ischemia.

Microvascular research·2026
Same journal

Association of circulating biomarkers of glycocalyx injury, sirtuin 1, and NFκB p65 in individuals with type 2 diabetes and concurrent arterial hypertension.

Microvascular research·2026
Same journal

Targeting miR-10 alleviates atherosclerosis by enhancing intestinal ABCA1-mediated cholesterol efflux and repairing intestinal barrier.

Microvascular research·2026
Same journal

The effect of acute high-intensity interval exercise on microvascular function and local skeletal muscle oxygenation.

Microvascular research·2026
Same journal

RNF213 deficiency in human iPSC-derived vascular organoids captures key feature of moyamoya disease vasculopathy.

Microvascular research·2026
See all related articles

A new four-window video velocimeter improves red blood cell flow detection. This enhanced system offers faster response times for identifying spontaneous flow variations, crucial for understanding vasomotion.

Area of Science:

  • Biomedical Engineering
  • Physiology
  • Microcirculation Research

Background:

  • Capillary red blood cell velocimetry is essential for studying microvascular dynamics.
  • Conventional dual-window systems face limitations in accurately detecting rapid flow changes.
  • Understanding vasomotion requires sensitive methods for analyzing spontaneous blood flow variations.

Purpose of the Study:

  • To develop and evaluate a novel four-window photometric video velocimeter for red blood cell velocity measurement.
  • To compare the performance of the four-window system against a conventional dual-window system.
  • To assess the system's efficacy in detecting spontaneous flow variations indicative of vasomotion.

Main Methods:

  • Implementation of a four-window video red blood cell velocimeter.

Related Experiment Videos

  • Utilizing upstream and downstream signals derived from spatially separated window pairs.
  • Testing with artificial red blood cell patterns simulating trains and plasma gaps.
  • Comparison of correlogram characteristics and time constant for velocity change detection.
  • Main Results:

    • The four-window system generates a superior correlogram for delay to maximum cross-correlation detection.
    • The four-window system exhibited a significantly shorter time constant (1.2 ± 0.7 sec) for step velocity changes compared to the dual-window system (2.3 ± 0.6 sec).
    • The modified velocimetry methodology demonstrated enhanced sensitivity to flow variations.

    Conclusions:

    • The four-window photometric video velocimeter offers improved performance over conventional dual-window systems.
    • This enhanced system is better suited for detecting spontaneous flow variations associated with vasomotion.
    • The findings suggest a valuable advancement in microcirculation research tools.