Our softwares form the analytical core of our measurement systems for the characterization of particles and droplets in complex flows and sprays. It is specifically developed for operation with hardware associated with ParticleTensorAI®, SprayQuantAI®, and SpraySpy® instruments. The software enables real-time acquisition, processing, and interpretation of optical light scattering signals generated by particles and droplets in sprays and flows. All software components are fully standalone and do not require any subscription, registration, or cloud connectivity. The software is primarily implemented in C/C++ and is compatible with both Windows and Linux operating systems.
Our software solutions are based on two complementary analytical concepts. The first concept is the transformation of continuous light scattering signals into structured data representations. In the case of ParticleTensorAI®, these representations take the form of multidimensional tensors that capture the temporal and spatial characteristics of multiple scattering events. This approach significantly increases the information density compared to classical event-based measurement techniques.
The second concept focuses on extracting equivalent or enhanced physical information using a minimal number of light scattering signals combined with machine learning methods. By applying AI-based analysis techniques, including convolutional neural networks, the software achieves measurement capabilities comparable to or exceeding those of classical optical devices, while enabling more compact and cost-efficient system designs.
For measurement campaigns and experimental studies, the software can be adapted to support synchronized data acquisition and advanced logging functionalities. These tools allow precise temporal alignment of optical measurement data with external sensors, enabling the correlation of scattering signals with physical quantities such as particle or droplet size, velocity, concentration, and composition-related features. This capability supports advanced scientific research as well as systematic validation studies.