A single 0.9-second optical scan can identify and count nanoparticles inside raw urine or river water.
Identifying nanoparticles usually requires expensive purification and destructive chemical labels that ruin the original sample. This framework uses physics-informed generative modeling to see through complex, dirty fluids to find specific particles. It measures the size, shape, and abundance of contaminants or biological markers in less than one second. The system works on unprocessed samples, making it perfect for rapid environmental testing or instant medical diagnostics. It replaces hours of lab work with a non-contact measurement that keeps the fluid intact.
Deep Speckle Holography Redefines Label-free Nanoparticle Phenotyping
arXiv · 2605.01982
Nanoparticle metrology has long been constrained by the assumption that, in mixed and unprocessed fluids, particle size, morphology, composition, and species-specific abundance cannot be resolved simultaneously from a single label-free measurement. Here, we revisit this long-standing limitation by showing that complex forward speckle-holographic fields define an information-rich optical space for multidimensional particle signatures. We report deep speckle holography, a physics-informed generati