Elliptically polarized light for depth resolved optical imaging

Silva, Anabela Da; Deumié, Carole; Vanzetta, Ivo

doi:10.1364/boe.3.002907

Cited by 38 publications

(38 citation statements)

References 22 publications

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“…To improve the final image, recent studies have suggested the interest of generalizing Linear Polarization Gating (LPG) with the use of elliptical polarization, i.e., Elliptical Polarization Gating (EPG) [19,[33][34][35]. In particular, EPG present two main benefits when compared with LPG.…”

Section: Polarization Gating Techniquesmentioning

confidence: 99%

Polarization gating based on Mueller matrices

et al. 2017

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Abstract. We present mathematical formulae generalizing polarization gating techniques. Polarization gating refers to a collection of imaging methods based on the combination of different controlled polarization channels. In particular, we show how using the measured Mueller matrix of a sample, a widespread number of polarization gating configurations can be evaluated just from analytical expressions based on the Mueller matrix coefficients. We also show the interest of controlling the helicity of the states of polarization used for polarization gating based metrology, as this parameter has an impact in the image contrast of samples. In addition, we highlight as well the interest of combining polarization gating techniques with tools of data analysis related to the Mueller matrix formalism, such as the well-known Mueller matrix decompositions. The method discussed in this work is illustrated with the results of polarimetric measurements done on artificial phantoms and real ex-vivo tissues.

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Section: Polarization Gating Techniquesmentioning

confidence: 99%

Polarization gating based on Mueller matrices

et al. 2017

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“…These results highlight the ability to probe different tissue depths with light polarized elliptically at different angles (polarization gating), yielding images with unique features. While the exact probed depth in this study was not measured, it was previously shown that large angles probe deeper into tissue [35,36]. Depth was also shown to be a function of medium optical properties (Ref.…”

Section: Resultsmentioning

confidence: 81%

“…Recently, it has been shown that selective depths of tissue layers can be probed by tuning the ellipticity of polarization. This effect was demonstrated numerically by Monte Carlo simulation, and was validated experimentally via phantom and rodent measurements [35,36]. Thus, elliptical polarization was adopted here to allow increased depth contrast of hidden object images and to suppress both illumination effects and backscattering phenomena.…”

Section: Polarization: Basic Conceptsmentioning

confidence: 83%

“…In biological tissues, within the range of 600-1000 nm, the reduced scattering coefficient is greater than the absorption coefficient which is true in this study (0.25/0.015 E17). It is true that it is easier to work with tissue-like phantom with known optical properties [35,36]. However, we felt (c) Representative photographs of the tissue before and 50 min after application of OCA.…”

Section: Sample and Mediummentioning

confidence: 97%

“…Recently, Da Silva et al reported the use of polarization gating imaging with elliptically polarized light [35,36]. They demonstrated the possibility of imaging differential tissue depths as a function of the polarization ellipticity.…”

Section: Introductionmentioning

confidence: 99%

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Significant research to define and standardize terminologies for describing stacks of atomic layers in bulk graphene materials has been undertaken. Most methods to measure the stacking characteristics are time consuming and are not suited for obtaining information by directly imaging dispersions. Conventional optical microscopy has difficulty in identifying the size and thickness of a few layers of graphene stacks due to their low photon absorption capacity. Utilizing a contrast based on anisotropic refractive index in 2D materials, it is shown that localized thickness-specific information can be captured in birefringence images of graphene dispersions. Coupling pixel-by-pixel information from brightfield and birefringence images and using unsupervised statistical learning algorithms, three unique data clusters representing flakes (unexfoliated), nanoplatelets (partially exfoliated), and 2D sheets (well-exfoliated) species in various laboratory-based and commercial dispersions of graphene and graphene oxide are identified. The high-throughput, multitasking capability of the approach to classify stacking at sub-nanometer to micrometer scale and measure the size, thickness, and concentration of exfoliated-species in generic dispersions of graphene/graphene oxide are demonstrated. The method, at its current stage, requires less than half an hour to quantitatively assess one sample of graphene/graphene oxide dispersion.

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Elliptically polarized light for depth resolved optical imaging

Cited by 38 publications

References 22 publications

Polarization gating based on Mueller matrices

Polarization gating based on Mueller matrices

Object reconstruction in scattering medium using multiple elliptical polarized speckle contrast projections and optical clearing agents

A High Throughput and Unbiased Machine Learning Approach for Classification of Graphene Dispersions

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