Deep Speckle Holography Redefines Label-free Nanoparticle Phenotyping

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Hauptverfasser: Zhu, Yanmin, Li, Yuxing, Chen, Jingyan, Ho, Derek Yuen-Wa, Wang, Chutian, Zhang, Yuzhe, Wang, Xue-Qi, Lu, Bo, Fang, James Kar-Hei, Ling, Francis Chi Chung, Tadesse, Loza F., Lam, Edmund Y.
Format: Preprint
Veröffentlicht: 2026
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author Zhu, Yanmin
Li, Yuxing
Chen, Jingyan
Ho, Derek Yuen-Wa
Wang, Chutian
Zhang, Yuzhe
Wang, Xue-Qi
Lu, Bo
Fang, James Kar-Hei
Ling, Francis Chi Chung
Tadesse, Loza F.
Lam, Edmund Y.
author_facet Zhu, Yanmin
Li, Yuxing
Chen, Jingyan
Ho, Derek Yuen-Wa
Wang, Chutian
Zhang, Yuzhe
Wang, Xue-Qi
Lu, Bo
Fang, James Kar-Hei
Ling, Francis Chi Chung
Tadesse, Loza F.
Lam, Edmund Y.
contents 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 concurrent multidimensional readouts in 0.9 s over a dynamic range spanning 10 orders of magnitude. Deep speckle holography establishes a route toward direct label-free nanoparticle phenotyping in real-world fluids, moving nanoscale measurement beyond isolated-particle characterization toward multidimensional inference in complex mixtures, and expanding the scope of questions nanoscale measurement can address, from real-time tracking of nanoparticle transformations in living and environmental systems to non-invasive quality control of nanomedicine formulations, and beyond.
format Preprint
id arxiv_https___arxiv_org_abs_2605_01982
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Deep Speckle Holography Redefines Label-free Nanoparticle Phenotyping
Zhu, Yanmin
Li, Yuxing
Chen, Jingyan
Ho, Derek Yuen-Wa
Wang, Chutian
Zhang, Yuzhe
Wang, Xue-Qi
Lu, Bo
Fang, James Kar-Hei
Ling, Francis Chi Chung
Tadesse, Loza F.
Lam, Edmund Y.
Image and Video Processing
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 concurrent multidimensional readouts in 0.9 s over a dynamic range spanning 10 orders of magnitude. Deep speckle holography establishes a route toward direct label-free nanoparticle phenotyping in real-world fluids, moving nanoscale measurement beyond isolated-particle characterization toward multidimensional inference in complex mixtures, and expanding the scope of questions nanoscale measurement can address, from real-time tracking of nanoparticle transformations in living and environmental systems to non-invasive quality control of nanomedicine formulations, and beyond.
title Deep Speckle Holography Redefines Label-free Nanoparticle Phenotyping
topic Image and Video Processing
url https://arxiv.org/abs/2605.01982