Characterizing and tracking individual colloidal particles using Fourier-Bessel image decomposition

Strubbe, Filip; Vandewiele, Stijn; Schreuer, Caspar; Beunis, Filip; Drobchak, Oksana; Brans, Toon; Neyts, Kristiaan

doi:10.1364/oe.22.024635

Cited by 7 publications

(8 citation statements)

References 42 publications

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“…Similarly, fitting to the generative model from Eq. (3) rather than computing phenomenological metrics 23 eliminates the need for per-particle calibrations.…”

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confidence: 99%

Holographic molecular binding assays

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Soddu

Hollingsworth

et al. 2020

Sci Rep

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We demonstrate that holographic particle characterization can directly detect binding of proteins to functionalized colloidal probe particles by monitoring the associated change in the particles’ size. This label-free molecular binding assay uses in-line holographic video microscopy to measure the diameter and refractive index of individual probe spheres as they flow down a microfluidic channel. Pooling measurements on 104 particles yields the population-average diameter with an uncertainty smaller than 0.5 nm, which is sufficient to detect sub-monolayer coverage by bound proteins. We demonstrate this method by monitoring binding of NeutrAvidin to biotinylated spheres and binding of immunoglobulin G to spheres functionalized with protein A.

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“…Similarly, fitting to the generative model from Eq. (3) rather than computing phenomenological metrics 23 eliminates the need for per-particle calibrations.…”

mentioning

confidence: 99%

Holographic molecular binding assays

Zagzag

Soddu

Hollingsworth

et al. 2020

Sci Rep

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“…Accurate and precise characterization of spherical colloidal particles is an important method in research fields such as biosensing [1][2][3][4][5][6][7], microscopy techniques [8][9][10][11], fluid flow tracing [12,13], the study of elektrokinetic effects with tracer particles [14] and food monitoring [15][16][17]. The size and refractive index of the colloidal particles are two properties often sought after as the first leads to information on the size distribution of the dispersion and the second gives insight in the composition and structural properties such as a coating or porosity.…”

Section: Introductionmentioning

confidence: 99%

“…These advantages were explored earlier in a video microscopy setup with Köhler illumination [7]. Here an image analysis method based on multiple image moments was used to analyze images of light scattered by micrometer-sized plastic spheres with different radii and composition.…”

Section: Introductionmentioning

confidence: 99%

Low coherence digital holography microscopy based on the Lorenz-Mie scattering model

Vandewiele¹,

Strubbe²,

Schreuer³

et al. 2017

Opt. Express

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Abstract:We demonstrate the use of low spatial and temporal coherence holography microscopy, based on the Lorenz-Mie model, using the standard tungsten-halogen lamp present in an inverted microscope. An optical model is put forward to incorporate the effect of spectral width and different incidence angles of the incident light determined by the aperture at the back focal plane of the condenser lens. The model is validated for 899 nm diameter polystyrene microspheres in glycerol, giving a resolution of 0.4% for the index of refraction and 2.2% for the diameter of the particles. 2102-2109 (2015). 12. J. Westerweel, "Fundamentals of digital particle image velocimetry," Meas. Sci. Technol. 8, 1379(1997. 13. C. Weis, C. Oelschlaeger, D. Dijkstra, M. Ranft, and N. Willenbacher, "Microstructure, local dynamics, and flow behavior of colloidal suspensions with weak attractive interactions," Sci. Rep. 6, 33498 (2016

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“…It allows for single-shot characterization and can be extended to particle tracking when recording a suite of images. Extracting particle [7] and distribution characteristics [8] from holograms, bright field images [9], or Fraunhofer diffraction patterns [10] has already been studied in the past and is generally solved by applying different numerical algorithms involving inversion, nonlinear pattern matching, or performing image analysis decomposition. Since integrals of special functions or an extensive use of FFTs occur in most of these algorithms, they all suffer from a tremendous increase in computational cost if the image size increases or several particles are studied in parallel.…”

Section: Introductionmentioning

confidence: 99%

Fast particle characterization using digital holography and neural networks

2015

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We propose using a neural network approach in conjunction with digital holographic microscopy in order to rapidly determine relevant parameters such as the core and shell diameter of coated, non-absorbing spheres. We do so without requiring a time-consuming reconstruction of the cell image. In contrast to previous approaches, we are able to obtain a continuous value for parameters such as size, as opposed to binning into a discrete number of categories. Also, we are able to separately determine both core and shell diameter. For simulated particle sizes ranging between 7 and 20 μm, we obtain accuracies of (4.4±0.2)% and (0.74±0.01)% for the core and shell diameter, respectively.

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Characterizing and tracking individual colloidal particles using Fourier-Bessel image decomposition

Cited by 7 publications

References 42 publications

Holographic molecular binding assays

Holographic molecular binding assays

Low coherence digital holography microscopy based on the Lorenz-Mie scattering model

Fast particle characterization using digital holography and neural networks

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