Spatial Temporal Analysis of Fieldwise Flow in Microvasculature

Sherry  G. Clendenon; Xiao Fu; Robert  A. Von Hoene; Jeffrey  L. Clendenon; James  P. Sluka; Seth Winfree; Henry Mang; Michelle Martinez; Adele Filson; James E. Klaunig; James  A. Glazier; Kenneth W. Dunn

doi:10.3791/60493

Spatial Temporal Analysis of Fieldwise Flow in Microvasculature

JoVE Journal
Bioengineering

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JoVE Journal Bioengineering

Spatial Temporal Analysis of Fieldwise Flow in Microvasculature

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09:39 min

November 18, 2019

DOI: 10.3791/60493-v

Sherry G. Clendenon^1,2, Xiao Fu^1,3, Robert A. Von Hoene¹, Jeffrey L. Clendenon⁴, James P. Sluka^1,2, Seth Winfree⁵, Henry Mang⁵, Michelle Martinez⁵, Adele Filson⁵, James E. Klaunig⁶, James A. Glazier^1,2, Kenneth W. Dunn⁵

¹Biocomplexity Institute,Indiana University, ²Department of Intelligent Systems Engineering,Indiana University, ³Department of Physics,Indiana University, ⁴Scientific Designs, ⁵Department of Medicine,Indiana University, ⁶School of Public Health,Indiana University

Overview

The STAFF software enables continuous quantification of microvascular flow across entire microscope fields, significantly reducing the time required for measurement. This method allows for the evaluation of flow velocities and the generation of color-coded spatial maps for visualization.

Key Study Components

Area of Science

Neuroscience
Microvascular Flow Analysis
Imaging Techniques

Background

Microvascular flow varies significantly between capillaries.
Traditional measurement methods are time-consuming.
Continuous measurement is essential for accurate analysis.
STAFF software provides a solution for real-time flow quantification.

Purpose of Study

To develop a method for continuous quantification of microvascular flow.
To improve the efficiency of flow measurement across microscope fields.
To provide visual tools for new users of STAFF software.

Methods Used

Development of STAFF software for flow analysis.
Use of TrakEM2 to define the vascular network.
Importing images for analysis within the software.
Generating color-coded spatial maps for visualization.

Main Results

STAFF enables nearly continuous measurement of flow velocities.
Significant reduction in time required for flow analysis.
Color-coded maps enhance visualization of flow dynamics.
Procedures are straightforward and user-friendly.

Conclusions

STAFF software is a valuable tool for microvascular flow analysis.
It allows researchers to obtain data that would take months manually.
Visual demonstrations can aid in user navigation and understanding.

Frequently Asked Questions

What is STAFF software?

STAFF is software developed for the continuous quantification of microvascular flow across entire microscope fields.

How does STAFF improve flow measurement?

STAFF allows for nearly continuous measurement of flow velocities, significantly reducing the time needed for analysis.

What are the main features of STAFF?

STAFF generates color-coded spatial maps for visualization and provides tabular output for quantitative analyses.

What is the purpose of using TrakEM2?

TrakEM2 is used to define the vascular network and import images for analysis within STAFF.

Can new users easily learn to use STAFF?

Yes, the procedures are straightforward, and visual demonstrations can significantly help new users navigate the software.

To quantify microvascular flow from high speed capillary flow image sequences, we developed STAFF (Spatial Temporal Analysis of Fieldwise Flow) software. Across the full image field and over time, STAFF evaluates flow velocities and generates a sequence of color-coded spatial maps for visualization and tabular output for quantitative analyses.

Since microvascular flow varies between capillaries and changes over a time course of seconds, a method for the continuous quantification of flow across entire fields is needed. Staff enables a nearly continuous measurement of flow velocities across entire microscope fields, within hours, that would otherwise take months to obtain manually. Although these procedures are straightforward, visual demonstration will significantly help new users navigate staff for the first time.

To use TrakEM2 to define the vascular network, first select File, New, and TrakEM2 Blank to setup a new blank TrakEM2 project, and select the new folder containing the single image from the movie as the project folder. The TrakEM2 windows will open. Right-click in the main work area and select Import and Import Image.

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