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Live Cell Imaging of F-actin Dynamics via Fluorescent Speckle Microscopy FSM
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Influence of object motion on roughness measurements using spectral speckle correlation
Optics Express
|December 19, 2025
Summary
Spectral speckle correlation (SSC) now measures surface roughness on moving objects. A new model separates roughness from motion blur, enabling high-speed, non-contact metrology for industrial applications.
Area of Science:
- Metrology
- Optical Measurement
- Surface Science
Background:
- Spectral speckle correlation (SSC) is a non-contact method for surface roughness measurement.
- Object motion typically reduces the accuracy of SSC measurements.
- Existing methods struggle with dynamic surface analysis.
Purpose of the Study:
- To develop a unified model for SSC that accounts for object motion.
- To enable accurate surface roughness metrology on moving objects.
- To quantify the impact of motion blur on speckle contrast.
Main Methods:
- Developed a unified model separating surface roughness and motion blur contributions in SSC.
- Derived a closed-form variance expression for the kinematic term.
- Validated the model using a galvanized steel sheet translated at various speeds.
Main Results:
- The model accurately distinguishes surface roughness from motion blur.
- Measured correlations agreed with theoretical predictions within 1.06% on average.
- Demonstrated potential for SSC to operate at speeds up to 16 m/s with optimized laser parameters.
Conclusions:
- The developed SSC model enables accurate surface roughness measurement of moving objects.
- SSC is a viable high-throughput alternative to conventional profilometry for in-line monitoring.
- This advancement supports continuous industrial process control for fast-moving surfaces.
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