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Speckle Pattern Acquisition and Statistical Processing for Analysis of Turbid Liquids

IEEE Transactions on Instrumentation and Measurement 2023 11 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 40 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Valentina Bello, Elisabetta Bodo, Sabina Merlo

Summary

Researchers developed a low-cost speckle pattern imaging system using a laser diode and digital camera to analyze turbid fluids like plant-based milks, extracting statistical parameters from light scattering patterns that correlate with particle concentration and allow differentiation between similar opaque suspensions.

Analysis and fine distinction of turbid fluids is challenging since standard techniques, usually applied to transparent liquids, fail to work properly due to scattering losses. The phenomenon of speckle pattern, which arises when such liquids are illuminated by coherent light, can be successfully applied to investigate the properties of these media. In this work, we exploit a simple instrumental configuration, combining a laser diode and a PC-interfaced, digital CMOS camera, for acquiring images and video of speckle pattern generated by illuminating turbid fluid samples that were obtained by dilution of opaque suspensions, such as commercial vegetable milk. By processing the acquired image sequences, we have been able to extract several statistical parameters that can be correlated with the concentration of the scattering elements of each sample, allowing an easy differentiation of the various fluids.

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