Holographic characterization of protein aggregates

US11747258B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11747258-B2
Application numberUS-202217826848-A
CountryUS
Kind codeB2
Filing dateMay 27, 2022
Priority dateFeb 8, 2016
Publication dateSep 5, 2023
Grant dateSep 5, 2023

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  1. Title

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  2. Abstract

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

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Systems and methods for holographic characterization of protein aggregates. Size and refractive index of individual aggregates in a solution can be determined. Information regarding morphology and porosity can be extracted from holographic data.

First claim

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What is claimed is: 1. A method of characterizing a sample of plurality of particles, comprising: flowing the sample in a medium through an observation volume of a holographic microscope; generating a first set of holograms based upon holographic video microscopy of a particle P n of a first cluster of the plurality of particles within the observation volume at a first time; characterizing each of the particle of the first cluster of particles as a sphere; determining the refractive index and the radius for characterized sphere of the first cluster of particles generating a second set of holograms based upon holographic video microscopy of a second cluster of particles within the observation volume at a second time; characterizing each of the particles of the second cluster of particle as a sphere; and determining the refractive index and the radius for each of the particles of the second cluster of particles by characterizing of each of the particles of the first cluster and each of the particles of the second cluster as a fractal cluster of fractal dimension D where: ln ⁡ ( f ⁡ ( n p ) - f ⁡ ( n m ) f ⁡ ( n 0 ) - f ⁡ ( n m ) ) = ( 3 - D ) ⁢ ln ⁡ ( a 0 a p ) with Ø being a volume fraction of particle, a 0 being the particle radius, and a p being the particles radius, n 0 being a refractive index of a particle, n m being a refractive index of the medium, and n p being an apparent refractive index of the respective particle cluster. 2. The method of claim 1 , further comprising monitoring synthesis of the plurality of particles based upon comparison of the first particle refractive index and radius and the second particle refractive index and radius. 3. The method of claim 1 , further comprising, wherein flowing the sample is at a rate of up to 100 μm s −1 . 4. The method of claim 1 , further comprising prior to generating the first set of holograms, adding salt. 5. The method of claim 1 , wherein determining the refractive index and the radius comprises application of Lorenz-Mie theory. 6. The method of claim 2 , further comprising determining whether synthesis of the plurality of particles has concluded. 7. The method of claim 1 , wherein determining the refractive index and the radius of the particles of the first cluster of particles and determining the refractive index and the radius of the particles of the second cluster of particles comprise determining a probability density for refractive index and radius of the particles of the first cluster of particles and determining a probability density for refractive index and radius of the particles of the second cluster of particles, respectively. 8. The method of claim 1 , wherein at least one protein aggregate is present in both the first cluster of particles and the second cluster of particles and further wherein the trajectory of the at least one particle is determined. 9. A computer-implemented machine for characterizing a plurality of particles, comprising: a processor; a holographic microscope comprising a coherent light, a specimen stage having an observation volume, an objective lens, and an image collection device, the holographic microscope in communication with the processor; and a tangible computer-readable medium operatively connected to the processor and including computer code configured to: flow the sample in a medium through an observation volume of a holographic microscope; generate a first of holograms based upon holographic video microscopy of a particle P n of a first cluster of the plurality of particles within the observation volume at a first time; characterize each of the particles of the first cluster of the plurality of particles as a sphere; determine the refractive index and the radius for characterized sphere of the first cluster of particles generate a second of holograms based upon holographic video microscopy of a second cluster of the plurality particles within the observation volume at a second time; characterize each of the particles of the second cluster of particle as a sphere; and determine the refractive index and the radius for each of the particles of the second cluster by the characterizing of each of the particles of the first cluster and of the second cluster as a fractal cluster of fractal dimension D where: ln ⁡ ( f ⁡ ( n p ) - f ⁡ ( n m ) f ⁡ ( n 0 ) - f ⁡ ( n m ) ) = ( 3 - D ) ⁢

Assignees

Inventors

Classifications

  • using imaging; using holography · CPC title

  • Investigating a scatter or diffraction pattern · CPC title

  • G01N15/147Primary

    the analysis being performed on a sample stream · CPC title

  • Investigating nanoparticles · CPC title

  • in liquids, e.g. trouble · CPC title

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What does patent US11747258B2 cover?
Systems and methods for holographic characterization of protein aggregates. Size and refractive index of individual aggregates in a solution can be determined. Information regarding morphology and porosity can be extracted from holographic data.
Who is the assignee on this patent?
Univ New York
What technology area does this patent fall under?
Primary CPC classification G01N15/0227. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Sep 05 2023 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 10 related publications on this page (citations in our corpus or others sharing the same primary CPC).