A novel phase function describing light scattering of layers containing colloidal nanospheres

Wang, Junxin; Xu, Chao; Nilsson, Annica M.; Fernandes, Daniel L. A.; Niklasson, Gunnar A.

doi:10.1039/c9nr01707k

Cited by 14 publications

(17 citation statements)

References 40 publications

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“…These effects give strong forward and backward peaks in the scattering pattern. 36,37 At small angles (β < 2°), the major part of the measured transmitted intensity originates from light that is neither absorbed nor scattered by the particles. A smaller part is due to light that is scattered and diffracted by the particles at small angles.…”

Section: Resultsmentioning

confidence: 99%

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Extraction of Backscattering and Absorption Coefficients of Magnetite Nanosphere Composites from Light-Scattering Measurements: Implications for Optomagnetic Sensing

Wang

Xiong

et al. 2020

ACS Appl. Nano Mater.

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Interaction of light with magnetic nanoparticles, dispersed in solution or embedded in other materials, is of major interest in a range of applications, one example being optomagnetic sensors. In applied research, light absorption and scattering of nanoparticle composites are often quantified by the Kubelka–Munk two-flux radiative transfer model. In this paper, we synthesized magnetite (Fe3O4) nanospheres with different diameters and encapsulated them into a polymer matrix. Their spectral transmittance and reflectance were investigated by spectrophotometry, together with measurements of angle-resolved scattering in the forward and backward hemispheres. The measured angular distribution was applied to approximate the scattering-phase function inside the film, which could be well described by the revised Reynolds–McCormick model. The backscattering and absorption coefficients were derived by inversion of the Kubelka–Munk relations, using the interface reflectances obtained from angle-dependent measurements. We present detailed optical properties for samples with various particle concentrations and scattering layer thicknesses, consisting of the magnetite and polymer composites. The absorption and backscattering coefficients for particles of diameter 458 nm showed qualitative agreement with single-scattering Mie calculations. The optical properties of composites with smaller particles might be influenced by an oxidized Fe2O3-like surface layer. The present approach can be used to study different kinds of magnetic nanoparticle clusters, dispersed in a supporting medium, and thus provide optical parameters of relevance for interpreting results of optomagnetic sensing experiments.

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Section: Resultsmentioning

confidence: 99%

“…Frequently, the assumption of an isotropic scattering pattern , has been used to compute these parameters but this limits the ability to describe anisotropic scattering. Therefore, a thorough characterization of the angular scattering patterns is essential to apply the KM model to experimental data in a more rigorous way.…”

Section: Introductionmentioning

confidence: 99%

Extraction of Backscattering and Absorption Coefficients of Magnetite Nanosphere Composites from Light-Scattering Measurements: Implications for Optomagnetic Sensing

Wang

Xiong

et al. 2020

ACS Appl. Nano Mater.

Self Cite

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“…This model is typically needed when the sample exhibits significant backscattering lobes, which the single peak HG and GK phase function models are unable to reproduce. One widely employed solution is to build phase function models that are linear combinations of single peak phase functions, such as two‐term Henyey‐Greenstein or two‐term Gegenbauer kernel models [WXN∗19]. With a phase function model, the inverse problem is significantly simplified from trying to estimate x = [ σ s , σ a , p (θ 0 ), p (θ 1 ), …, p ( θ n )] to instead solving for x = σ s , σ a , g, γ ] (when using a GK phase function).…”

Section: Inverse Methodsmentioning

confidence: 99%

Survey of Models for Acquiring the Optical Properties of Translucent Materials

Frisvad

Jensen²,

Madsen³

et al. 2020

Computer Graphics Forum

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The outset of realistic rendering is a desire to reproduce the appearance of the real world. Rendering techniques therefore operate at a scale corresponding to the size of objects that we observe with our naked eyes. At the same time, rendering techniques must be able to deal with objects of nearly arbitrary shapes and materials. These requirements lead to techniques that oftentimes leave the task of setting the optical properties of the materials to the user. Matching the appearance of real objects by manual adjustment of optical properties is however nearly impossible. We can render objects with a plausible appearance in this way but cannot compare the appearance of a manufactured item to that of its digital twin. This is especially true in the case of translucent objects, where we need more than a goniometric measurement of the optical properties. In this survey, we provide an overview of forward and inverse models for acquiring the optical properties of translucent materials. We map out the efforts in graphics research in this area and describe techniques available in related fields. Our objective is to provide a better understanding of the tools currently available for appearance specification when it comes to digital representations of real translucent objects.

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“…FullMonteSW employs the Henyey–Greenstein scattering phase function, as the deep tissue tumor cases targeted employ lambertien or isotropic light sources. Since the code is open source, other scattering phase functions 31 – 33 can be added by end users if required for other applications. As described in Ref.…”

Section: Open-source Tool Suite For Pdtmentioning

confidence: 99%

Scalable and accessible personalized photodynamic therapy optimization with FullMonte and PDT-SPACE

Wang

Dai

et al. 2022

J. Biomed. Opt.

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. Significance: Open-source software packages have been extensively used in the past three decades in medical imaging and diagnostics, aiming to study the feasibility of the application ex vivo . Unfortunately, most of the existing open-source tools require some software engineering background to install the prerequisite libraries, choose a suitable computational platform, and combine several software tools to address different applications. Aim: To facilitate the use of open-source software in medical applications, enabling computational studies of treatment outcomes prior to the complex in-vivo setting. Approach: FullMonteWeb, an open-source, user-friendly web-based software with a graphical user interface for interstitial photodynamic therapy (iPDT) modeling, visualization, and optimization, is introduced. The software can perform Monte Carlo simulations of light propagation in biological tissues, along with iPDT plan optimization. FullMonteWeb installs and runs the required software and libraries on Amazon Web Services (AWS), allowing scalable computing without complex set up. Results: FullMonteWeb allows simulation of large and small problems on the most appropriate compute hardware, enabling cost improvements of versus always running on a single platform. Case studies in optical property estimation and diffuser placement optimization highlight FullMonteWeb’s versatility. Conclusion: The FullMonte open source suite enables easier and more cost-effective in-silico studies for iPDT.

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A novel phase function describing light scattering of layers containing colloidal nanospheres

Abstract: A novel empirical phase function gives an excellent approximation to the angular light scattering of a layer containing micro/nanoparticles.

Cited by 14 publications

References 40 publications

Extraction of Backscattering and Absorption Coefficients of Magnetite Nanosphere Composites from Light-Scattering Measurements: Implications for Optomagnetic Sensing

Extraction of Backscattering and Absorption Coefficients of Magnetite Nanosphere Composites from Light-Scattering Measurements: Implications for Optomagnetic Sensing

Survey of Models for Acquiring the Optical Properties of Translucent Materials

Scalable and accessible personalized photodynamic therapy optimization with FullMonte and PDT-SPACE

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