Deep Speckle Holography Redefines Label-free Nanoparticle Phenotyping
Yanmin Zhu, Yuxing Li, Jingyan Chen, Derek Yuen-Wa Ho, Chutian Wang, Yuzhe Zhang, Xue-Qi Wang, Bo Lu, James Kar-Hei Fang, Francis Chi Chung Ling, Loza F. Tadesse, Edmund Y. Lam

TL;DR
Deep speckle holography is a novel, physics-informed method enabling simultaneous, label-free, multidimensional nanoparticle profiling in complex fluids with rapid, non-destructive measurements.
Contribution
It introduces deep speckle holography, a generative framework that profiles nanoparticle identity, size, and morphology from single measurements without purification or labeling.
Findings
Enables direct nanoparticle inference in native fluids without preprocessing.
Provides rapid (0.9 s) multidimensional readouts over a wide dynamic range.
Works across diverse samples including environmental and biological fluids.
Abstract
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 generative framework that profiles particle identity, size, morphology, and species-resolved abundance from a single non-contact optical measurement. Across purified suspensions, mixed particle populations, environmental waters, human urine, and other unprocessed native fluids, the method enables direct nanoparticle inference without purification, labeling, or destructive preprocessing, delivering…
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