Deducing effective light transport parameters in optically thin systems

Anno: 2016

Autori: Mazzamuto G., Pattelli L., Toninelli C., Wiersma D.

Affiliazione autori: European Laboratory for Non-linear Spectroscopy (LENS), Università di Firenze, 50019 Sesto Fiorentino (FI), Italy;
CNR-INO, Istituto Nazionale di Ottica, Via N. Carrara 1, 50019 Sesto Fiorentino (FI), Italy;
QSTAR, Largo Enrico Fermi 2, 50125 Firenze, Italy;
Department of Physics, Università di Firenze, 50019 Sesto Fiorentino (FI), Italy

Abstract: We present an extensive Monte Carlo study on light transport in optically thin slabs, addressing both axial and transverse propagation. We systematically characterize diffusive transport in this intermediate scattering regime, notably in terms of the spatial variance of the transmitted/reflected profile. Focusing on late, multiply scattered light, we test the validity of the prediction cast by diffusion theory that the spatial variance should grow independently of absorption and, to a first approximation, of the sample thickness and refractive index contrast. Based on a large set of simulated data, we build a freely available look-up table routine enabling reliable and precise determination of the microscopic transport parameters starting from robust observables which are independent from absolute intensity measurements. We also present the Monte Carlo software package that was developed for the purpose of this study.

Giornale/Rivista: NEW JOURNAL OF PHYSICS

Volume: 18      Da Pagina: 023036-1  A: 023036-13

Maggiori informazioni: We wish to thank M Burresi for fruitful discussions. This work is financially supported by the European Network of Excellence Nanophotonics for Energy Efficiency and the ERC through the Advanced Grant PhotBots, project reference 291349 funded under FP7-IDEAS-ERC. CT and GM acknowledge support from the MIUR program Atom-based Nanotechnology and from the Ente Cassa di Risparmio di Firenze with the project GRANCASSA.
Parole chiavi: diffusion; turbid media; photon migration; light propagation in tissues; Monte Carlo simulations
DOI: 10.1088/1367-2630/18/2/023036

Citazioni: 8
dati da “WEB OF SCIENCE” (of Thomson Reuters) aggiornati al: 2023-02-05
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