SprayQuantAI® is a particle measurement method based on AI-driven analysis, in which the light scattering signals from individual particles are analyzed to calculate their physical properties. This approach enables the mapping of complex particle characteristics for in-depth analysis of spray processes such as mixing, evaporation, and more.

The method was first validated in 2023 and published in [1]. In this study, SprayQuantAI® was employed to develop a more cost-effective and compact measurement instrument for particle characterization in flows. It builds on the time-shift time-of-flight (TSTOF) technique, which is widely known under the brand name SpraySpy [2].

Using SprayQuantAI®, it became possible to extract the same information about particles—such as particle size and velocity—from a single light scattering signal that previously required four. As a result, one light source and three detectors, along with their corresponding electronics and optics, can be omitted. This significantly reduces hardware costs and allows for the creation of smaller, more efficient measurement probes that require only a single signal acquisition system with no need for synchronization.

A further development was presented in [2], where SprayQuantAI® was used to determine the refractive index of individual droplets in a flow. This was part of a medical case study focused on nasal spray analysis.

The most recent application, published in [3], demonstrated the use of SprayQuantAI® for characterizing milk droplets during the spray drying process.

For more information about the functionality and technical background, please consult our publications or contact us to request login credentials for access to the customer area.

[1] W. Schaefer and L. Li, “Particle characterization by analyzing light scattering signals with a machine learning approach,” Appl. Opt., vol. 63, no. 29, p. 7701, Oct. 2024, doi: 10.1364/AO.531346.

[2] W. Schäfer, “Time-shift technique for particle characterization in sprays,” Technische Universität Darmstadt, 2012. [Online]. Available: https://www.epubli.com/shop/time-shift-technique-for-particle-characterization-in-sprays-9783844267082

[3] W. Schaefer, “Refractive index determination of dynamic droplets in a flow by analyzing light scattering signals with a machine learning approach,” 11th Int. Symp. Turbul. Heat Mass Transf., pp. 1–8, 2025.

[4] A. M. A. Doan, W. Schaefer, V. Chernoray, W. Schäfer, and V. Chernoray, “Analysis of the light scattering of a colloid droplet on a Gaussian beam to determine the suspension concentration,” in ILASS-Europe, Lund, 2025.