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公开(公告)号：US11085864B2
公开(公告)日：2021-08-10
申请号：US15526287
申请日：2015-11-11
申请人： NEW YORK UNIVERSITY
发明人： David G. Grier , David B. Ruffner , Aaron Yevick , Mark Hannel
摘要： Systems and methods for uniquely identifying fluid-phase products by endowing them with fingerprints composed of dispersed colloidal particles, and by reading out those fingerprints on demand using Total Holographic Characterization. A library of chemically inert colloidal particles is developed that can be dispersed into soft materials, the stoichiometry of the mixture encoding user-specified information, including information about the host material. Encoded information then can be recovered by high-speed analysis of holographic microscopy images of the dispersed particles. Specifically, holograms of individual colloidal spheres are analyzed with predictions of the theory of light scattering to measure each sphere's radius and refractive index, thereby building up the distribution of particle properties one particle at a time. A complete analysis of a colloidal fingerprint requires several thousand single-particle holograms and can be completed in ten minutes.
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2.发明申请FAST FEATURE IDENTIFICATION FOR HOLOGRAPHIC TRACKING AND CHARACTERIZATION OF COLLOIDAL PARTICLES 审中-公开用于全息跟踪和胶体颗粒表征的快速特征鉴定公开(公告)号：US20170059468A1
公开(公告)日：2017-03-02
申请号：US15118785
申请日：2015-02-12
申请人： New York University
CPC分类号： G01N15/1429 , G01N15/1434 , G01N21/4133 , G01N2015/1445 , G01N2015/1493 , G03H1/0005 , G03H1/0443 , G03H2001/0033 , G03H2001/0038 , G03H2001/005 , G03H2001/0447 , G06F17/11 , G06N20/00
摘要： A method and system for identification of holographic tracking and identification of features of an object. A holograph is created from scattering off the object, intensity gradients are established for a plurality of pixels in the holograms, the direction of the intensity gradient is determined and those directions analyzed to identify features of the object and enables tracking of the object. Machine learning devices can be trained to estimate particle properties from holographic information.
摘要翻译： 用于识别物体的全息跟踪和识别特征的方法和系统。 通过散射物体产生全息图，为全息图中的多个像素建立强度梯度，确定强度梯度的方向，并分析这些方向以识别物体的特征，并使物体能够跟踪。 可以训练机器学习装置以从全息信息估计粒子特性。
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公开(公告)号：US11977015B2
公开(公告)日：2024-05-07
申请号：US17396980
申请日：2021-08-09
申请人： NEW YORK UNIVERSITY
发明人： David G. Grier , David B. Ruffner , Aaron Yevick , Mark Hannel
IPC分类号： G01N15/02 , G01N15/0227 , G03H1/00 , G03H1/04 , G06V10/143 , G06V20/69 , G06V20/80 , B01L3/00 , G01N15/00 , G01N21/47
CPC分类号： G01N15/0227 , G03H1/0005 , G03H1/0443 , G06V10/143 , G06V20/69 , G06V20/80 , B01L3/5027 , G01N2015/0053 , G01N2015/0233 , G01N2015/03 , G01N2021/4707 , G03H2001/0033 , G03H2001/005 , G03H2001/0447
摘要： Systems and methods for uniquely identifying fluid-phase products by endowing them with fingerprints composed of dispersed colloidal particles, and by reading out those fingerprints on demand using Total Holographic Characterization. A library of chemically inert colloidal particles is developed that can be dispersed into soft materials, the stoichiometry of the mixture encoding user-specified information, including information about the host material. Encoded information then can be recovered by high-speed analysis of holographic microscopy images of the dispersed particles. Specifically, holograms of individual colloidal spheres are analyzed with predictions of the theory of light scattering to measure each sphere's radius and refractive index, thereby building up the distribution of particle properties one particle at a time. A complete analysis of a colloidal fingerprint requires several thousand single-particle holograms and can be completed in ten minutes.
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公开(公告)号：US10222315B2
公开(公告)日：2019-03-05
申请号：US15518739
申请日：2015-10-12
申请人： NEW YORK UNIVERSITY
发明人： David G. Grier , Aaron Yevick , Mark Hannel
摘要： Holograms of colloidal dispersions encode comprehensive information about individual particles' three-dimensional positions, sizes and optical properties. Extracting that information typically is computation-ally intensive, and thus slow. Machine-learning techniques based on support vector machines (SVMs) can analyze holographic video microscopy data in real time on low-power computers. The resulting stream of precise particle-resolved tracking and characterization data provides unparalleled insights into the composition and dynamics of colloidal dispersions and enables applications ranging from basic research to process control and quality assurance.
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公开(公告)号：US20210364403A1
公开(公告)日：2021-11-25
申请号：US17396980
申请日：2021-08-09
申请人： NEW YORK UNIVERSITY
发明人： David G. Grier , David B. Ruffner , Aaron Yevick , Mark Hannel
摘要： Systems and methods for uniquely identifying fluid-phase products by endowing them with fingerprints composed of dispersed colloidal particles, and by reading out those fingerprints on demand using Total Holographic Characterization. A library of chemically inert colloidal particles is developed that can be dispersed into soft materials, the stoichiometry of the mixture encoding user-specified information, including information about the host material. Encoded information then can be recovered by high-speed analysis of holographic microscopy images of the dispersed particles. Specifically, holograms of individual colloidal spheres are analyzed with predictions of the theory of light scattering to measure each sphere's radius and refractive index, thereby building up the distribution of particle properties one particle at a time. A complete analysis of a colloidal fingerprint requires several thousand single-particle holograms and can be completed in ten minutes.
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6.发明授权公开(公告)号：US10983041B2
公开(公告)日：2021-04-20
申请号：US15118785
申请日：2015-02-12
申请人： New York University
摘要： A method and system for identification of holographic tracking and identification of features of an object. A holograph is created from scattering off the object, intensity gradients are established for a plurality of pixels in the holograms, the direction of the intensity gradient is determined and those directions analyzed to identify features of the object and enables tracking of the object. Machine learning devices can be trained to estimate particle properties from holographic information.
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公开(公告)号：US10656065B2
公开(公告)日：2020-05-19
申请号：US15526287
申请日：2015-11-11
申请人： NEW YORK UNIVERSITY
发明人： David G. Grier , David B. Ruffner , Aaron Yevick , Mark Hannel
摘要： Systems and methods for uniquely identifying fluid-phase products by endowing them with fingerprints composed of dispersed colloidal particles, and by reading out those fingerprints on demand using Total Holographic Characterization. A library of chemically inert colloidal particles is developed that can be dispersed into soft materials, the stoichiometry of the mixture encoding user-specified information, including information about the host material. Encoded information then can be recovered by high-speed analysis of holographic microscopy images of the dispersed particles. Specifically, holograms of individual colloidal spheres are analyzed with predictions of the theory of light scattering to measure each sphere's radius and refractive index, thereby building up the distribution of particle properties one particle at a time. A complete analysis of a colloidal fingerprint requires several thousand single-particle holograms and can be completed in ten minutes.
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