Image-Based Experimental Measurement Techniques to Characterize Velocity Fields in Blood Microflows

Area of Science:

• Biomedical Engineering
• Microfluidics
• Fluid Dynamics

Background:

• Blood microflow prediction in complex geometries is challenging due to blood's microscale properties.
• Characterizing microchannel velocity is vital for understanding cellular interactions, disease mechanisms, and therapeutic efficacy.
• Image-based techniques using tracer particles offer a key method for visualizing and measuring microflow.

Purpose of the Study:

• To provide a concise overview of image-based experimental techniques for blood microflow velocity field characterization.
• To introduce accessible methods for both in vivo and in vitro applications.
• To highlight the importance of microflow velocity measurements in biomedical research.

Main Methods:

• Review of established image-based velocimetry techniques.
• Introduction to cell tracking velocimetry (CTV).
• Explanation of kymographs, micro-particle velocimetry (MPV), and dual-slit photometry.

Main Results:

• Detailed description of four distinct image-based techniques for microflow analysis.
• Demonstration of the utility of these methods for in vivo and in vitro studies.
• Emphasis on the advancements in image processing for sophisticated flow measurements.

Conclusions:

• Image-based techniques provide essential tools for characterizing blood microflow velocity.
• These methods are fundamental for advancing research in cellular interactions and disease mechanisms.
• The reviewed techniques offer accessible entry points for microflow analysis in various research settings.