A cost-effective and efficient AI-DLS framework integrating dynamic light scattering (DLS) with artificial intelligence (AI) enables precise microparticle size characterization. A compact DLS system was developed using a helium–neon laser, high-frequency photodetectors, and optimized optical components, achieving significant miniaturization—4.5% volume, 16.7% weight, and 25% cost of conventional systems. Advanced signal processing, such as Kalman filtering, improved data quality, while deep learning models (deep neural network (DNN), one-dimensional convolutional neural network (1D-CNN), and 2D-CNN with Gramian angular field transformations) enhanced prediction accuracy. The 2D-CNN model achieved exceptional results, with a mean absolute error of 10 nm and 99% accuracy. The AI-DLS system matched the stability and accuracy of traditional instruments, reducing test time by 80%. This scalable, low-cost solution overcomes traditional DLS limitations, offering broad accessibility for scientific and industrial microparticle characterization.

链接：AI-Enabled Compact and Efficient Dynamic Light Scattering System for Precise Microparticle Sizing