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Updated: Feb 26, 2026

How to Build a Laser Speckle Contrast Imaging LSCI System to Monitor Blood Flow
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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.

Journal of Biophotonics
|July 13, 2017
PubMed
Summary

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.

Keywords:
FPGALASCALSCIblood flowblood perfusionmicrocirculationmultiexposure

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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.