Abstract

The pharmaceutical manufacturing industry has long faced the challenge of monitoring drying mixtures—a crucial step in the production of medications and chemical compounds. Traditional methods for evaluating particle size distribution (PSD) are often time-consuming. Recent advances have introduced a novel, non-invasive approach using scattered light and machine learning to estimate PSD from a single speckle image. This technique promises increased efficiency, accuracy, and product quality in manufacturing, while reducing waste and the incidence of batch failures.

Keywords

pharmaceutical manufacturing, MIT researchers, single speckle image, laser light