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Updated: Feb 26, 2026

How to Build a Laser Speckle Contrast Imaging LSCI System to Monitor Blood Flow
Published on: November 11, 2010
A 15.6 frames per second 1-megapixel multiple exposure laser speckle contrast imaging setup
Martin Hultman1, Ingemar Fredriksson1,2, Marcus Larsson1
1Department of Biomedical Engineering, Linköping University, Linköping, Sweden.
A novel multiple exposure laser speckle contrast imaging (MELSCI) system, utilizing a field programmable gate array (FPGA), rapidly visualizes blood flow. This advanced setup enhances image quality and microcirculatory perfusion estimates.
Area of Science:
- Biomedical Engineering
- Optical Imaging
- Microcirculation Research
Background:
- Laser speckle contrast imaging (LSCI) is a valuable technique for visualizing blood flow.
- Traditional LSCI systems face limitations in processing speed and image quality.
- Multiple exposure time imaging (MELSCI) offers potential for improved perfusion assessment.
Purpose of the Study:
- To develop and validate a high-speed MELSCI system for enhanced blood perfusion visualization.
- To implement a field programmable gate array (FPGA) for real-time processing of MELSCI data.
- To evaluate the system's performance in a human finger occlusion model.
Main Methods:
- A MELSCI setup was engineered with a 1000 fps camera and FPGA for rapid image acquisition and processing.
- Images with multiple exposure times (1-64 ms) were generated via cumulative summation of consecutive snapshots.
- Local contrast was computed using 4x4 pixel regions, with averaging for signal-to-noise improvement.
Main Results:
- The FPGA implementation enabled calculation of contrast images at all exposure times within 28 ms.
- The system achieved processing rates of 15.6 fps for MELSCI data.
- Significant contrast changes were observed during finger occlusion and subsequent hyperemia, validating the system's efficacy.
Conclusions:
- The developed FPGA-based MELSCI system provides high-speed, high-quality blood perfusion imaging.
- This technology enables improved microcirculatory perfusion estimates compared to single exposure time methods.
- The system demonstrates robust performance in dynamic physiological studies, such as occlusion-induced hyperemia.
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