Dr. Alexander Doronin Profile

Dr. Alexander Doronin

Senior Lecturer at Victoria Univ of Wellington

SPIE Involvement:

Author | Instructor | Leadership Workshop Facilitator

Websites:

Personal Website

Publications (47)

Proceedings Article | 12 March 2024 Presentation + Paper

An open source energy efficient hybrid Monte Carlo and machine learning algorithm for assessing light transport in turbid scattering media

Vinh Nguyen, Abigail Clennell, Vladislav Yakovlev, Alexander Doronin

Proceedings Volume 12841, 1284109 (2024) https://doi.org/10.1117/12.3003641

KEYWORDS: Biomedical optics, Simulations, Photon transport, Monte Carlo methods, Turbidity, Optical properties, Machine learning, Tissues, Performance modeling

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SPIE Journal Paper | 6 July 2023 Open Access

Polarimetric imaging for cervical pre-cancer screening aided by machine learning: ex vivo studies

Demelza Robinson, Kevin Hoong, Willem Bastiaan Kleijn, Alexander Doronin, Jean Rehbinder, Jeremy Vizet, Angelo Pierangelo, Tatiana Novikova

JBO, Vol. 28, Issue 10, 102904, (July 2023) https://doi.org/10.1117/12.10.1117/1.JBO.28.10.102904

KEYWORDS: Education and training, Polarimetry, Tissues, Machine learning, Biomedical optics, Performance modeling, Biological samples, Data modeling, Cross validation, Histopathology

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SignificanceWide-field imaging Mueller polarimetry is an optical imaging technique that has great potential to become a reliable, fast, non-contact in vivo imaging modality for the early detection of, e.g., deceases and tissue structural malformations, such as cervical intraepithelial neoplasia, in both clinical and low-resource settings. On the other hand, machine learning methods have established themselves as a superior solution in image classification and regression tasks. We combine Mueller polarimetry and machine learning, critically assess the data/classification pipeline, investigate the bias arising from training strategies, and demonstrate how higher levels of detection accuracy can be achieved.AimWe aim to automate/assist with diagnostic segmentation of polarimetric images of uterine cervix specimens.ApproachA comprehensive capture-to-classification pipeline is developed in house. Specimens are acquired and measured with imaging Mueller polarimeter and undergo histopathological classification. Subsequently, a labeled dataset is created within tagged regions of either healthy or neoplastic cervical tissues. Several machine learning methods are trained utilizing different training-test-set-split strategies, and their corresponding accuracies are compared.ResultsOur results include robust measurements of model performance with two approaches: a 90:10 training–test-set-split and leave-one-out cross-validation. By comparing the classifier’s accuracy directly with the ground truth obtained during histology analysis, we demonstrate how conventionally used shuffled split leads to an over-estimate of true classifier performance ( 0.964 ± 0.00 ) . The leave-one-out cross-validation, however, leads to more accurate performance ( 0.812 ± 0.21 ) with respect to newly obtained samples that were not used to train the models.ConclusionsCombination of Mueller polarimetry and machine learning is a powerful tool for the task of screening for pre-cancerous conditions in cervical tissue sections. Nevertheless, there is a inherent bias with conventional processes that can be addressed using more conservative classifier training approaches. This results in overall improvements of the sensitivity and specificity of the developed techniques for “unseen” images.

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Proceedings Article | 16 March 2023 Presentation

Two Monte Carlo approaches for simulating polarized light transport in tissues: Black-box comparison and evaluation (Conference Presentation)

Alexander Doronin, Hee Ryung Lee, Tatiana Novikova

Proceedings Volume PC12393, PC123930E (2023) https://doi.org/10.1117/12.2649376

KEYWORDS: Monte Carlo methods, Tissues, Polarization, Light scattering, Tissue optics, Standards development, Spectroscopy, Scattering media, Scattering, Polarimetry

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Proceedings Article | 15 March 2023 Presentation

Polarimetric imaging of cervical pre-cancer aided by machine learning (Conference Presentation)

Alexander Doronin, Demelza Robinson, Bastiaan Kleijn, Jean Rehbinder, Jeremy Vizet, Angelo Pierangelo, Tatiana Novikova

Proceedings Volume PC12382, PC1238204 (2023) https://doi.org/10.1117/12.2649405

KEYWORDS: Polarimetry, Machine learning, Image segmentation, Diagnostics, Biomedical optics, Polarization, In vivo imaging, Cervix, Cervical cancer, Statistical analysis

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Proceedings Article | 7 March 2023 Presentation

Deep learning for hyperspectral imaging of human skin and automated extraction of its functional and optical properties

Alexander Doronin, Igor Meglinski, Alexander Bykov

Proceedings Volume PC12378, PC1237807 (2023) https://doi.org/10.1117/12.2649398

KEYWORDS: Skin, Hyperspectral imaging, Optical properties, Tissue optics, Tissues, Data processing, Multiple scattering, Monte Carlo methods, Machine learning, Light scattering

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Proceedings Article | 6 March 2023 Presentation

Assessment of twisted light localization in turbid tissue-like scattering media using 3D geometrical exploration

Alexander Doronin, Tatiana Novikova, Nicolás Vera, Juan Staforelli, Igor Meglinski

Proceedings Volume PC12373, PC1237308 (2023) https://doi.org/10.1117/12.2649433

KEYWORDS: Tissue optics, Scattering media, Optical tracking, Biomedical optics, Visualization, Speckle, Polarization, Photon transport, Phase shifts, Parallel computing

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Proceedings Article | 6 March 2023 Presentation

Real-time photorealistic 3D spectral rendering of human skin appearance

Marc Gluyas, Alexander Doronin

Proceedings Volume PC12371, PC123710A (2023) https://doi.org/10.1117/12.2648514

KEYWORDS: Skin, Tissues, Monte Carlo methods, Translucency, Ray tracing, Visualization, Surface roughness, Scattering media, Photon transport, In vivo imaging

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Proceedings Article | 5 March 2021 Presentation

A unified framework for simulation of the total angular momentum of light scattered in turbid media

Alexander Doronin, Nicolás Vera, Juan Staforelli, Igor Meglinski, Tatiana Novikova

Proceedings Volume 11646, 116460O (2021) https://doi.org/10.1117/12.2578248

KEYWORDS: Monte Carlo methods, Light scattering, Biomedical optics, Tissues, Polarization, Data modeling, Wavefronts, Tissue optics, Photons, Optimization (mathematics)

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Proceedings Article | 20 August 2020 Presentation

Cloud-based online application for imitation of polarized light propagation in turbid scattering media

Alexander Doronin, Hee Ryung Lee, Igor Meglinski, Alexander Bykov, Tatiana Novikova

Proceedings Volume 11484, 1148409 (2020) https://doi.org/10.1117/12.2568271

KEYWORDS: Scattering media, Light scattering, Tissues, Optical coherence tomography, Monte Carlo methods, Tissue optics, Polarization, Optical diagnostics, Polarimetry, Backscatter

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Proceedings Article | 27 April 2020 Presentation

Polarization-sensitive hyperspectral imaging of human skin: From system design to clinical validation (Conference Presentation)

Alexander Bykov, Viktor Dremin, Zbignevs Marcinkevics, Evgenii Zherebtsov, Alexander Doronin, Alexey Popov, Andris Grabovskis, Igor Meglinski

Proceedings Volume 11389, 1138914 (2020) https://doi.org/10.1117/12.2556842

KEYWORDS: Skin, Hyperspectral imaging, Imaging systems, Reflectivity, Polarization, Cameras, Fiber optic illuminators, Polarizers, Blood, Algorithm development

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Proceedings Article | 9 March 2020 Presentation

GPU-accelerated online Monte Carlo (MC) application for imitation of twisted light propagation in turbid tissue-like scattering media (Conference Presentation)

Alexander Doronin, Hee Ryung Lee, Tatiana Novikova, Nicolás Vera, Juan Pablo Staforelli, Alexander Bykov, Igor Meglinski

Proceedings Volume 11234, 112340K (2020) https://doi.org/10.1117/12.2545779

KEYWORDS: Monte Carlo methods, Tissue optics, Scattering media, Tissues, Optical diagnostics, Biomedical optics, Image processing, Multiple scattering, Light scattering, Stochastic processes

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Proceedings Article | 13 May 2019 Presentation + Paper

The application of a unified Monte Carlo model in the training of artificial neural networks for the purpose of real-time in-vivo sensing of tissue optical properties

Alexander Doronin, Igor Meglinski

Proceedings Volume 10982, 109820N (2019) https://doi.org/10.1117/12.2518566

KEYWORDS: Skin, Blood, Monte Carlo methods, Photons, Tissue optics, Absorption, In vivo imaging, Tissues, Reflectivity, Computer simulations

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Proceedings Article | 11 March 2019 Presentation

Towards real-time simulation of human skin appearance (Conference Presentation)

Alexander Doronin, Natallia Trayan

Proceedings Volume 10877, 108770E (2019) https://doi.org/10.1117/12.2509175

KEYWORDS: Skin, Computer simulations, Monte Carlo methods, Tissues, Reflectivity, Tissue optics, Surface roughness, Chromophores, Blood, Collagen

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Proceedings Article | 8 March 2019 Presentation

Propagation of complex vector laser beams in turbid tissue-like scattering medium (Conference Presentation)

Alexander Doronin, Nicolas Vera, Juan Pablo , Igor Meglinski

Proceedings Volume 10935, 109350C (2019) https://doi.org/10.1117/12.2509160

KEYWORDS: Laser tissue interaction, Laser scattering, Laser beam propagation, Light scattering, Scattering, Laser therapeutics, Optical storage, Monte Carlo methods, Gaussian beams, Biomedical optics

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Proceedings Article | 4 March 2019 Presentation

Perspectives of optical diagnosis with vector light beams (Conference Presentation)

Alexander Doronin, Nicolas Vera, Juan Staforelli, Tatiana Novikova, Igor Meglinski

Proceedings Volume 10873, 108730K (2019) https://doi.org/10.1117/12.2509145

KEYWORDS: Tissue optics, Geometrical optics, Light scattering, Laser scattering, Scattering, Polarization, Particles, Laser beam propagation, Biopsy, Tissues

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Proceedings Article | 18 September 2018 Presentation

Hyperspectral imaging aided by artificial neural networks for functional skin characterization (Conference Presentation)

Alexander Bykov, Evgeny Zherebtsov, Mikhail Kirillin, Daria Loginova, Alexey Popov, Alexander Doronin, Igor Meglinski

Proceedings Volume 10768, 107680C (2018) https://doi.org/10.1117/12.2321148

KEYWORDS: Hyperspectral imaging, Artificial neural networks, Imaging systems, Monte Carlo methods, Blood, Skin, Cameras, Fiber optic illuminators, Algorithm development, Diagnostics

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Proceedings Article | 17 September 2018 Presentation

Development of an inverse approach for the characterization of in-vivo optical properties of human skin based on artificial neural networks (Conference Presentation)

Alexander Doronin, Holly Rushmeier, Alexander Bykov, Igor Meglinski

Proceedings Volume 10743, 107430K (2018) https://doi.org/10.1117/12.2320814

KEYWORDS: Skin, Artificial neural networks, In vivo imaging, Optical properties, Tissues, Light scattering, Artificial intelligence, Scattering media, Monte Carlo methods, Computer simulations

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Proceedings Article | 14 March 2018 Presentation

Determination of human skin optical properties from hyper spectral data with deep-learning neural networks (Conference Presentation)

Alexander Doronin, Igor Meglinski, Alexander Bykov, Holly Rushmeier

Proceedings Volume 10489, 104890U (2018) https://doi.org/10.1117/12.2289149

KEYWORDS: Skin, Monte Carlo methods, Signal detection, Optical properties, Neural networks, Light scattering, Spectroscopy, Tissues, Diffuse reflectance spectroscopy, Reflectance spectroscopy

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SPIE Journal Paper | 19 August 2017 Open Access

Multimodal optical measurement for study of lower limb tissue viability in patients with diabetes mellitus

Viktor Dremin, Evgeny Zherebtsov, Victor Sidorov, Alexander Krupatkin, Irina Makovik, Angelina Zherebtsova, Elena Zharkikh, Elena V. Potapova, Andrey Dunaev, Alexander Doronin, Alexander Bykov, Ilya Rafailov, Karina Litvinova, Sergei Sokolovski, Edik Rafailov

JBO, Vol. 22, Issue 08, 085003, (August 2017) https://doi.org/10.1117/12.10.1117/1.JBO.22.8.085003

KEYWORDS: Luminescence, Skin, Diagnostics, Tissues, Tissue optics, Blood, Optical fibers, Optical testing, Doppler effect, Blood circulation

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Proceedings Article | 28 July 2017 Paper

Impact of blood volume on the diffuse reflectance spectra of human skin in visible and NIR spectral ranges

E. Zherebtsov, A. Doronin, A. Bykov, A. Popov, I. Meglinski

Proceedings Volume 10412, 104120H (2017) https://doi.org/10.1117/12.2280634

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Proceedings Article | 28 July 2017 Paper

Hyperspectral system for Imaging of skin chromophores and blood oxygenation

E. Zherebtsov, A. Popov, A. Doronin, I. Meglinski, A. Bykov

Proceedings Volume 10412, 104120G (2017) https://doi.org/10.1117/12.2280779

KEYWORDS: Monte Carlo methods, Imaging systems, Skin, Chromophores, Hyperspectral systems, Blood, Hyperspectral imaging, Neural networks, Modeling, Blood oxygen saturation

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Proceedings Article | 1 May 2017 Presentation

Computational model for simulation of sequences of helicity and angular momentum transfer in turbid tissue-like scattering medium (Conference Presentation)

Alexander Doronin, Igor Meglinski

Proceedings Volume 10060, 100600W (2017) https://doi.org/10.1117/12.2252757

KEYWORDS: Gaussian beams, Monte Carlo methods, Light scattering, Computer simulations, Tissues, Laser scattering, Scattering, Polarization, Optical simulations, Tissue optics

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Proceedings Article | 19 April 2017 Presentation

Modeling and interpreting speckle pattern formation in swept-source optical coherence tomography (Conference Presentation)

Valentin Demidov, I. Alex Vitkin, Alexander Doronin, Igor Meglinski

Proceedings Volume 10063, 1006304 (2017) https://doi.org/10.1117/12.2253337

KEYWORDS: Optical properties, Polarization, Optical coherence tomography, Speckle pattern, Monte Carlo methods, Optical imaging, Tissues, Coherence (optics), Light scattering, Quantitative analysis

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Proceedings Article | 19 April 2017 Presentation

Physically based radiative transfer framework for hyperspectral modelling of light interaction with volumetrically inhomogeneous scattering tissue-like media (Conference Presentation)

Alexander Doronin, Alexander Bykov, Holly Rushmeier, Igor Meglinski

Proceedings Volume 10062, 100620V (2017) https://doi.org/10.1117/12.2253120

KEYWORDS: Diffuse reflectance spectroscopy, Monte Carlo methods, Modeling, Light scattering, Scattering, Tissue optics, Optical properties, Computed tomography, Radiative transfer, Surface roughness

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SPIE Journal Paper | 11 April 2017 Open Access

Combined use of laser Doppler flowmetry and skin thermometry for functional diagnostics of intradermal finger vessels

Evgeny Zherebtsov, Angelina Zherebtsova, Alexander Doronin, Andrey Dunaev, Konstantin Podmasteryev, Alexander Bykov, Igor Meglinski

JBO, Vol. 22, Issue 04, 040502, (April 2017) https://doi.org/10.1117/12.10.1117/1.JBO.22.4.040502

KEYWORDS: Skin, Diagnostics, Temperature metrology, Blood, Thermometry, Blood circulation, Doppler effect, Doppler tomography, Capillaries, Tissue optics

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Proceedings Article | 30 March 2017 Paper

Impact of blood volume changes within the human skin on the diffuse reflectance measurements in visible and NIR spectral ranges

Evgeny Zherebtsov, Alexander Bykov, Alexey Popov, Alexander Doronin, Igor Meglinski

Proceedings Volume 10063, 1006312 (2017) https://doi.org/10.1117/12.2250855

KEYWORDS: Skin, Blood, Diffuse reflectance spectroscopy, Oxygen, Sensors, Visible radiation, Near infrared, Monte Carlo methods, Reflectivity, Oximetry, Ocean optics, Reflectance spectroscopy, Optical fibers, Optoelectronics

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Proceedings Article | 28 September 2016 Paper

Polarization-correlation optical microscopy of anisotropic biological layers

A. Ushenko, A. Dubolazov, V. Ushenko, Yu. Ushenko, M. Sakhnovskiy, V. Balazyuk, O. Khukhlina, K. Viligorska, A. Bykov, A. Doronin, I. Meglinski

Proceedings Volume 9971, 99712C (2016) https://doi.org/10.1117/12.2237926

KEYWORDS: Biomedical optics, Tissue optics, Tissues, Anisotropy, Birefringence, Polarization, Optical filters, Statistical analysis, Biopsy, Diagnostics

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Proceedings Article | 14 September 2016 Paper

Relationship of the phase and amplitude parameters with anisotropy of Muller-matrix invariants

A. Ushenko, A. Dubolazov, V. Ushenko, Yu. Ushenko, M. Sakhnovskiy, N. Pavlyukovich, A. Bykov, A. Doronin, I. Meglinski

Proceedings Volume 9970, 99701H (2016) https://doi.org/10.1117/12.2237900

KEYWORDS: Anisotropy, Biomedical optics, Birefringence, Polarization, Polarimetry, Tissues, Image filtering, Pathology, Tissue optics, Optical filters

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SPIE Journal Paper | 11 July 2016 Open Access

Backscattering of linearly polarized light from turbid tissue-like scattering medium with rough surface

Alexander Doronin, Lioudmila Tchvialeva, Igor Markhvida, Tim Lee, Igor Meglinski

JBO, Vol. 21, Issue 07, 071117, (July 2016) https://doi.org/10.1117/12.10.1117/1.JBO.21.7.071117

KEYWORDS: Light scattering, Scattering, Natural surfaces, Tissue optics, Surface roughness, Backscatter, Reflection, Photons, Polarization, Phase shifts

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Proceedings Article | 27 April 2016 Presentation

Cloud-based Monte Carlo modelling of BSSRDF for the rendering of human skin appearance (Conference Presentation)

Alexander Doronin, Holly Rushmeier, Igor Meglinski, Alexander Bykov

Proceedings Volume 9719, 97190F (2016) https://doi.org/10.1117/12.2214512

KEYWORDS: Skin, Monte Carlo methods, Modeling, Reflectivity, Tissues, Chromophores, Graphics processing units, Operating systems, Biophysics, Biology

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Proceedings Article | 26 April 2016 Presentation

Towards understanding speckle pattern formation in optical coherence tomography (Conference Presentation)

Valentin Demidov, Igor Meglinski, Alexander Doronin, I. Alex Vitkin

Proceedings Volume 9707, 970709 (2016) https://doi.org/10.1117/12.2214519

KEYWORDS: Optical coherence tomography, Speckle pattern, Monte Carlo methods, Polarization, Image analysis, Physics, Biomedical optics, Photonics, Current controlled current source

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SPIE Journal Paper | 6 August 2014 Open Access

Monitoring of interaction of low-frequency electric field with biological tissues upon optical clearing with optical coherence tomography

Adrian Peña, Alexander Doronin, Valery Tuchin, Igor Meglinski

JBO, Vol. 19, Issue 08, 086002, (August 2014) https://doi.org/10.1117/12.10.1117/1.JBO.19.8.086002

KEYWORDS: Tissues, Optical coherence tomography, Optical clearing, Temperature metrology, Natural surfaces, Electrodes, Electronic filtering, Image filtering, Resistance, Breast

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Proceedings Article | 17 March 2014 Paper

Propagation and scattering of vector light beam in turbid scattering medium

Alexander Doronin, Giovanni Milione, Igor Meglinski, Robert Alfano

Proceedings Volume 8940, 894006 (2014) https://doi.org/10.1117/12.2038818

KEYWORDS: Polarization, Light scattering, Scattering, Tissue optics, Laser scattering, Monte Carlo methods, Light wave propagation, Scattering media, Reflection, Beam propagation method

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Proceedings Article | 17 March 2014 Paper

Diffusing-wave polarimetry for tissue diagnostics

Callum Macdonald, Alexander Doronin, Adrian Peña, Michael Eccles, Igor Meglinski

Proceedings Volume 8940, 894007 (2014) https://doi.org/10.1117/12.2038658

KEYWORDS: Scattering, Light scattering, Polarization, Polarimetry, Anisotropy, Tissues, Diagnostics, Tissue optics, Particles, Optical spheres

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Proceedings Article | 4 March 2014 Paper

Comparison of two Monte Carlo models of propagation of coherent polarized light in turbid scattering media

Alexander Doronin, Andrew Radosevich, Vadim Backman, Igor Meglinski

Proceedings Volume 8952, 89520F (2014) https://doi.org/10.1117/12.2038825

KEYWORDS: Light scattering, Scattering, Polarization, Monte Carlo methods, Backscatter, Tissue optics, Anisotropy, Detection and tracking algorithms, Laser scattering, Optical coherence tomography

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Proceedings Article | 4 March 2014 Paper

Enhanced diagnostic of skin conditions by polarized laser speckles: phantom studies and computer modeling

Lioudmila Tchvialeva, Tim Lee, Igor Markhvida, Haishan Zeng, Alexander Doronin, Igor Meglinski

Proceedings Volume 8926, 89260X (2014) https://doi.org/10.1117/12.2040192

KEYWORDS: Skin, Speckle, Polarization, Light scattering, Scattering, Speckle pattern, Skin cancer, Optical properties, Monte Carlo methods, Diagnostics

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Proceedings Article | 4 March 2014 Paper

Imaging of the interaction of low frequency electric fields with biological tissues by optical coherence tomography

Adrian Peña, Jack Devine, Alexander Doronin, Igor Meglinski

Proceedings Volume 8934, 89341C (2014) https://doi.org/10.1117/12.2040842

KEYWORDS: Optical coherence tomography, Tissues, Image filtering, Electronic filtering, Filtering (signal processing), Image processing, Breast, Visualization, Digital filtering, Graphics processing units

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Proceedings Article | 3 March 2014 Paper

Acousto-optic imaging using quantum memories in cryogenic rare earth ion doped crystals

Luke Taylor, Alexander Doronin, Igor Meglinski, Jevon Longdell

Proceedings Volume 8943, 89431D (2014) https://doi.org/10.1117/12.2038775

KEYWORDS: Acoustics, Ultrasonography, Photons, Scattering, Tissues, Quantum memory, Acousto-optics, Signal detection, Light scattering, Modulation

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SPIE Journal Paper | 20 February 2014 Open Access

Propagation of coherent polarized light in turbid highly scattering medium

Alexander Doronin, Callum Macdonald, Igor Meglinski

JBO, Vol. 19, Issue 02, 025005, (February 2014) https://doi.org/10.1117/12.10.1117/1.JBO.19.2.025005

KEYWORDS: Light scattering, Scattering, Polarization, Photon polarization, Monte Carlo methods, Scattering media, Sensors, Tissues, Reflection, Biomedical optics

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Proceedings Article | 26 February 2013 Paper

Speckle pattern texture analysis method to measure surface roughness

I. Kuznetsov, A. Sadovoy, A. Doronin, I. Meglinski

Proceedings Volume 8699, 869905 (2013) https://doi.org/10.1117/12.2016963

KEYWORDS: Speckle, Surface roughness, Speckle pattern, Image analysis, Statistical analysis, Scanning electron microscopy, Skin, Light scattering, Image filtering, Optical filters

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Proceedings Article | 26 February 2013 Paper

Using peer-to-peer network for on-line Monte Carlo computation of fluence rate distribution

A. Doronin, I. Meglinski

Proceedings Volume 8699, 869909 (2013) https://doi.org/10.1117/12.2016797

KEYWORDS: Monte Carlo methods, Computer simulations, Biomedical optics, Tissues, Visualization, Photon transport, Parallel computing, Optical coherence tomography, Computer architecture, Object oriented programming

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Proceedings Article | 22 February 2013 Paper

Mapping of spatial distribution of superficial blood vessels in human skin by double correlation analysis of optical coherence tomography images

A. Doronin, S. Botting, M. Meglinski, K. Jentoft, I. Meglinski

Proceedings Volume 8580, 858002 (2013) https://doi.org/10.1117/12.2002729

KEYWORDS: Optical coherence tomography, Skin, Blood vessels, Image filtering, 3D image processing, Electronic filtering, Filtering (signal processing), Image processing, Fourier transforms, Imaging systems

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Proceedings Article | 21 February 2013 Paper

Depolarization of light by rough surface of scattering phantoms

Lioudmila Tchvialeva, Igor Markhvida, Tim Lee, Alexander Doronin, Igor Meglinski

Proceedings Volume 8592, 859217 (2013) https://doi.org/10.1117/12.2002868

KEYWORDS: Scattering, Light scattering, Polarization, Monte Carlo methods, Skin, Tissues, Surface roughness, Natural surfaces, Speckle pattern, Speckle

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SPIE Journal Paper | 6 September 2012 Open Access

Peer-to-peer Monte Carlo simulation of photon migration in topical applications of biomedical optics

Alexander Doronin, Igor Meglinski

JBO, Vol. 17, Issue 9, 090504, (September 2012) https://doi.org/10.1117/12.10.1117/1.JBO.17.9.090504

KEYWORDS: Monte Carlo methods, Biomedical optics, Photon transport, Tissues, Computer architecture, Visualization, Computing systems, Diffuse reflectance spectroscopy, Computer simulations, Human-machine interfaces

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Proceedings Article | 29 February 2012 Paper

Online Monte Carlo based calculator of human skin spectra and color

A. Doronin, I. Meglinski

Proceedings Volume 8337, 833702 (2012) https://doi.org/10.1117/12.923732

KEYWORDS: Skin, Monte Carlo methods, Blood, Photons, Biomedical optics, Absorption, Tissues, Reflectivity, Scattering, Computer simulations

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Proceedings Article | 9 April 2011 Paper

GPU-accelerated object-oriented Monte Carlo modeling of photon migration in turbid media

Alex Doronin, Igor Meglinski

Proceedings Volume 7999, 79990K (2011) https://doi.org/10.1117/12.890267

KEYWORDS: Monte Carlo methods, Visualization, Photon transport, Algorithm development, Geometrical optics, Scattering, Biomedical optics, Tissue optics, Standards development, Object oriented programming

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Proceedings Article | 12 February 2011 Paper

Monte Carlo simulation of photon migration in turbid random media based on the object-oriented programming paradigm

Alex Doronin, Igor Meglinski

Proceedings Volume 7907, 790709 (2011) https://doi.org/10.1117/12.879558

KEYWORDS: Scattering, Polarization, Monte Carlo methods, Dielectric polarization, Tissues, Radio propagation, Visualization, Absorption, Photon transport, Object oriented programming

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Showing 5 of 47 publications

Conference Committee Involvement (1)

Micro- and Nanotechnology Sensors, Systems, and Applications XII

27 April 2020 | Online Only, California, United States

Course Instructor

SC1349: The Monte Carlo Method for Photon Transport and its Practical Applications in Biomedical Optics

This course is dedicated to the foundational theory, practical implementations, and applications of the Monte Carlo (MC) method for photon transport, a stochastic technique extensively used in the field of Biomedical Optics. Participants will learn the principles of this now "gold standard" approach, its evolutionary timeline, and master its capabilities in providing accurate solutions to the Radiative Transfer equation, including its polarized forms with specific consideration of the wave phenomena of light. The curriculum emphasizes modern, open-source, power-efficient MC implementations tailored for a range of practical applications, from dose calculation in photodynamic therapy and simulating human skin reflectance spectra to advanced evaluation of light’s spin and orbital angular momentum transfer in turbid media.

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