Non-invasive estimation of the powder size distribution from a single speckle image.

ABSTRACT: Non-invasive characterization of powders may take one of two approaches: imaging and counting individual particles; or relying on scattered light to estimate the particle size distribution (PSD) of the ensemble. The former approach runs into practical difficulties, as the system must conform to the working distance and other restrictions of the imaging optics. The latter approach requires an inverse map from the speckle autocorrelation to the particle sizes. The principle relies on the pupil function determining the basic sidelobe shape, whereas the particle size spread modulates the sidelobe intensity. We recently showed that it is feasible to invert the speckle autocorrelation and obtain the PSD using a neural network, trained efficiently through a physics-informed semi-generative approa

SUBMITTER: Zhang Q 

PROVIDER: S-EPMC11339358 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature