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Publication
Automated quantification of microvascular perfusion.
Authors McClatchey PM, Mignemi NA, Xu Z, Williams IM, Reusch JEB, McGuinness OP,
Wasserman DH
Submitted By Submitted Externally on 9/24/2018
Status Published
Journal Microcirculation (New York, N.Y. : 1994)
Year 2018
Date Published 6/1/2018
Volume : Pages Not Specified : e12482
PubMed Reference 29908041
Abstract Changes in microvascular perfusion have been reported in many diseases, yet the
functional significance of altered perfusion is often difficult to determine.
This is partly because commonly used techniques for perfusion measurement often
rely on either indirect or by-hand approaches., We developed and validated a
fully automated software technique to measure microvascular perfusion in videos
acquired by fluorescence microscopy in the mouse gastrocnemius. Acute perfusion
responses were recorded following intravenous injections with phenylephrine,
SNP, or saline., Software-measured capillary flow velocity closely correlated
with by-hand measured flow velocity (R2  = 0.91, P < 0.0001). Software estimates
of capillary hematocrit also generally agreed with by-hand measurements (R2 
= 0.64, P < 0.0001). Detection limits range from 0 to 2000 µm/s, as compared to
an average flow velocity of 326 ± 102 µm/s (mean ± SD) at rest. SNP injection
transiently increased capillary flow velocity and hematocrit and made capillary
perfusion more steady and homogenous. Phenylephrine injection had the opposite
effect in all metrics. Saline injection transiently decreased capillary flow
velocity and hematocrit without influencing flow distribution or stability. All
perfusion metrics were temporally stable without intervention., These results
demonstrate a novel and sensitive technique for reproducible, user-independent
quantification of microvascular perfusion.




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