Automated quantification of microvascular perfusion

作者：McClatchey Penn Mason^*; Mignemi Nicholas A; Xu Zhengang; Williams Ian M; Reusch Jane E B; McGuinness Owen P; Wasserman David H

来源：Microcirculation, 2018, 25(6): e12482.

DOI：10.1111/micc.12482

• capillary recruitment
• computational image processing
• intravital microscopy
• microvascular perfusion
• nitric oxide

Objective: 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.
Methods: 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.
Results: Software-measured capillary flow velocity closely correlated with by-hand measured flow velocity (R-2 = 0.91, P < 0.0001). Software estimates of capillary hematocrit also generally agreed with by-hand measurements (R-2 = 0.64, P < 0.0001). Detection limits range from 0 to 2000 mu m/s, as compared to an average flow velocity of 326 +/- 102 mu m/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.
Conclusions: These results demonstrate a novel and sensitive technique for reproducible, user-independent quantification of microvascular perfusion.

• 出版日期2018-8