Multi-spectral Mueller Matrix Imaging Polarimetry for Studies of Human Tissues

Novikova, Tatiana; Rehbinder, Jean; Deby, Stanislas; Haddad, Huda; Vizet, Jérémy; Pierangelo, Angelo; Validire, Pierre; Benali, Abdelali; Gayet, Brice; Teig, Benjamin; Nazac, André; Drévillon, B.; Moreau, F.; Martino, A. De

doi:10.1364/translational.2016.tth3b.2

Cited by 22 publications

(22 citation statements)

References 6 publications

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“…Furthermore, the depolarization parameter Δ of cancerous paraffin-embedded tissues is higher than that of the normal tissue sample. It is worth to mention that an opposite trend on depolarization was observed in the experiments with fresh thick tissue specimens (colon, uterine cervix) [8,24] when epithelial surface of tissue was imaged. In the above-mentioned measurement configuration [8,24] an imaging plane was orthogonal to the plane of tissue histological cuts seen and analyzed by pathologist.…”

Section: −1mentioning

confidence: 92%

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Complementary analysis of Mueller-matrix images of optically anisotropic highly scattering biological tissues

Borovkova

Peyvasteh

Dubolazov

et al. 2018

J. Eur. Opt. Soc.-Rapid Publ.

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Background: Using optical techniques for tissue diagnostics (so-called 'optical biopsy') has been a subject of extensive research for many years. Various groups have been exploring different spectral and/or imaging modalities (e.g. diffuse reflectance spectroscopy, autofluorescence, Raman spectroscopy, optical coherence tomography (OCT), polarized light microscopy, etc.) for biomedical applications. In this paper, we report on using multi-wavelength imaging Mueller polarimetry combined with an appropriated image post-processing for the detection of tissue malignancy. Methods: We investigate a possibility of complementary analysis of Mueller matrix images obtained for turbid tissue-like scattering phantoms and excised human normal and cancerous colorectal tissue samples embedded in paraffin. Combined application of correlation, fractal and statistical analysis was employed to assess quantitatively the polarization-inhomogeneous scattered fields observed at the surface of tissue samples. Results: The combined analysis of the polarimetric images of paraffin-embedded tissue blocks has proved to be an efficient tool for the unambiguous detection of tissue malignant transformation. A fractal structure was clearly observed at spatial distributions of depolarization of light scattered in healthy tissues in a visible range of spectrum, while corresponding distributions for cancerous tissues did not show such dependence. We demonstrate that paraffin does not destroy a fractal structure of spatial distribution of depolarization. Thus, the loss of fractality in spatial distributions of depolarization for cancerous tissue is related to the structural changes in the tissue sample induced by cancer itself and, therefore, may serve as a marker of the disease. Conclusion: The obtained results emphasize that a combined use of statistical, correlation and fractal analysis for the Mueller-matrix image post-processing is an effective approach for an assessment of variations of optical properties in turbid tissue-like scattering media and biological tissues, with a high potential to be transferred to clinical practice for screening cancerous tissue samples.

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Section: −1mentioning

confidence: 92%

“…The detailed description and specifications of the experimental system used in current study are presented in [19,24], and omitted here for brevity. We applied Lu-Chipman decomposition of experimental Mueller matrices.…”

Section: Methodsmentioning

confidence: 99%

Complementary analysis of Mueller-matrix images of optically anisotropic highly scattering biological tissues

Borovkova

Peyvasteh

Dubolazov

et al. 2018

J. Eur. Opt. Soc.-Rapid Publ.

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“…Various imaging techniques, primarily based on transmission, absorption, reflection, spontaneous emission and scattering in light‐tissue interactions, have shown to be responsive to a number of subtle alterations in various diseased tissue. Mueller matrix (MM) polarimetric imaging based on the acquisition of 16 images has shown tremendous potential in precancer detection since the last decade and is best suited for a complete characterization of the biological specimen . These MM images are further processed to extract the essential optical parameters, namely, diattenuation, retardation and depolarization through Lu‐Chipman decomposition method .…”

Section: Introductionmentioning

confidence: 99%

Mapping of retardance, diattenuation and polarizance vector on Poincare sphere for diagnosis and classification of cervical precancer

Zaffar

Pradhan

2020

Journal of Biophotonics

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The mapping of diattenuation, polarizance and retardance vector (normalized Stokes vector) on Poincare sphere, evaluated from Mueller matrix of optically anisotropic stromal region of cervical tissues, is presented for cervical precancer detection and its staging. This reveals that the changes in the polarization states shown by these normalized Stokes vectors corresponds to the degradation of linearly arranged collagen fibers, breakage of the collagen cross links in the stromal region and change in the density of scattering sites when cervical cancer evolves. The distinct nature of real and imaginary parts of the refractive index for linear, linear-45 and circular polarization from the optically anisotropic stromal region underscore the various polarization structures of the connective tissue region which get modified during the pathological changes. It has been found that versatility of these vectors for normal and precancerous cervical tissue of various grades may be utilized as a key distinction for qualitative staging of cervical precancer tissue. Quantitative classification of precancerous stages of cervical precancer has been determined with 95%-100% sensitivity and 93%-100% specificity through the evaluation of linear and circular diattenuation, linear polarizance and linear birefringence from the components of the respective vectors. K E Y W O R D S cervical cancer, diattenuation vector, Mueller matrix, Poincare sphere, polarizance vector, retardance vector, stromal region

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“…suggests using them as optical markers for diagnostics in clinical settings. [1][2][3][4][5] However, using these parameters for diagnostics requires (i) understanding the fundamental processes of interaction of polarized light with tissue and (ii) finding the optimal set of optical parameters, which will increase the accuracy of diagnostics.…”

Section: Introductionmentioning

confidence: 99%

“…These instruments may operate in a spectroscopic or angular-resolved mode 7,8 and may also provide both microscopic (few hundreds of μm 2 ) and macroscopic (few cm 2 ) polarimetric images of the sample. [2][3][4]5,9,10 MM contains all information on polarimetric and depolarizing properties of a sample. However, a straightforward physical interpretation of MM elements is possible for a quite limited set of samples like basic polarimetric elements (polarizers and wave plates) and partial depolarizers.…”

Section: Introductionmentioning

confidence: 99%

Digital histology with Mueller microscopy: how to mitigate an impact of tissue cut thickness fluctuations

Lee

Yoo

et al. 2019

J. Biomed. Opt.

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Mueller microscopy studies of fixed unstained histological cuts of human skin models were combined with an analysis of experimental data within the framework of differential Mueller matrix (MM) formalism. A custom-built Mueller polarimetric microscope was used in transmission configuration for the optical measurements of skin tissue model adjacent cuts of various nominal thicknesses (5 to 30 μm). The maps of both depolarization and polarization parameters were calculated from the corresponding microscopic MM images by applying a logarithmic Mueller matrix decomposition (LMMD) pixelwise. The parameters derived from LMMD of measured tissue cuts and the intensity of transmitted light were used for an automated segmentation of microscopy images to delineate dermal and epidermal layers. The quadratic dependence of depolarization parameters and linear dependence of polarization parameters on thickness, as predicted by the theory, was confirmed in our measurements. These findings pave the way toward digital histology with polarized light by presenting the combination of optimal optical markers, which allows mitigating the impact of tissue cut thickness fluctuations and increases the contrast of polarimetric images for tissue diagnostics.

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Multi-spectral Mueller Matrix Imaging Polarimetry for Studies of Human Tissues

Cited by 22 publications

References 6 publications

Complementary analysis of Mueller-matrix images of optically anisotropic highly scattering biological tissues

Complementary analysis of Mueller-matrix images of optically anisotropic highly scattering biological tissues

Mapping of retardance, diattenuation and polarizance vector on Poincare sphere for diagnosis and classification of cervical precancer

Digital histology with Mueller microscopy: how to mitigate an impact of tissue cut thickness fluctuations

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