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Spatial Temporal Analysis of Fieldwise Flow in Microvasculature
Published on: November 18, 2019
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Spatial Temporal Analysis of Fieldwise Flow in Microvasculature.
Sherry G Clendenon1, Xiao Fu2, Robert A Von Hoene3
1Biocomplexity Institute, Indiana University; Department of Intelligent Systems Engineering, Indiana University.
Journal of Visualized Experiments : Jove
|December 3, 2019
Summary
We developed Spatial Temporal Analysis of Fieldwise Flow (STAFF) to quantify capillary blood flow dynamics. STAFF reveals significant spatial and temporal variations in flow velocity within microcirculation, offering novel insights into tissue perfusion.
Area of Science:
- Physiology
- Biomedical Engineering
- Optical Imaging
Background:
- Blood flow velocity and distribution are crucial for tissue perfusion and can indicate pathologies.
- Intravital microscopy (IVM) allows high-speed, cellular-level imaging in live animals.
- Current methods for quantifying capillary flow are limited in scope and temporal resolution.
Purpose of the Study:
- To develop a comprehensive and unbiased method for quantifying capillary blood flow.
- To analyze the spatial and temporal variability of capillary flow in vivo.
- To provide a tool for novel insights into microcirculation dynamics.
Main Methods:
- Developed Spatial Temporal Analysis of Fieldwise Flow (STAFF), an open-source macro for FIJI image analysis software.
- Utilized high-speed image sequences of capillary blood flow to generate kymographs.
- Calculated red blood cell velocity from kymographs and generated color-coded spatial maps and tabular data.
Main Results:
- STAFF enables comprehensive quantification of capillary flow across entire fields.
- Significant differences in flow velocity were observed between pericentral and periportal regions in mouse livers.
- Unexpected variations in flow velocity were detected between adjacent sinusoids and within individual vascular segments over seconds.
Conclusions:
- STAFF is a powerful new tool for analyzing complex spatiotemporal dynamics of capillary flow.
- The findings highlight previously undocumented spatial and temporal variability in microcirculation.
- This method can provide novel insights into tissue perfusion and disease development.
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