Volume 28 Issue 6 | Journal of Biomedical Optics

Journal of Biomedical Optics

VOL. 28 · NO. 6 | June 2023

CONTENTS

IN THIS ISSUE

Review Papers (1)

General (6)

Imaging (5)

Microscopy (2)

Sensing (1)

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Review Papers

In vivo skin optical clearing for improving imaging and light-induced therapy: a review

Qing Xia, Dongyu Li, Tingting Yu, Jingtan Zhu, Dan Zhu

Journal of Biomedical Optics, Vol. 28, Issue 06, 060901, (June 2023) https://doi.org/10.1117/1.JBO.28.6.060901

TOPICS: Skin, Optical clearing, In vivo imaging, Optical imaging, Tumors, Tissues, Biomedical optics, Diseases and disorders, Laser therapeutics, Biomedical applications

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General

Analysis of relative error in perturbation Monte Carlo simulations of radiative transport

Mahsa Parsanasab, Carole Hayakawa, Jerome Spanier, Yanning Shen, Vasan Venugopalan

Journal of Biomedical Optics, Vol. 28, Issue 06, 065001, (June 2023) https://doi.org/10.1117/1.JBO.28.6.065001

TOPICS: Simulations, Error analysis, Monte Carlo methods, Optical properties, Scattering, Photon transport, Photodetectors, Absorption, Covariance, Biological research

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Significance

Perturbation and differential Monte Carlo (pMC/dMC) methods, used in conjunction with nonlinear optimization methods, have been successfully applied to solve inverse problems in diffuse optics. Application of pMC to systems over a large range of optical properties requires optimal “placement” of baseline conventional Monte Carlo (cMC) simulations to minimize the pMC variance. The inability to predict the growth in pMC solution uncertainty with perturbation size limits the application of pMC, especially for multispectral datasets where the variation of optical properties can be substantial.

Aim

We aim to predict the variation of pMC variance with perturbation size without explicit computation of perturbed photon weights. Our proposed method can be used to determine the range of optical properties over which pMC predictions provide sufficient accuracy. This method can be used to specify the optical properties for the reference cMC simulations that pMC utilizes to provide accurate predictions over a desired optical property range.

Approach

We utilize a conventional error propagation methodology to calculate changes in pMC relative error for Monte Carlo simulations. We demonstrate this methodology for spatially resolved diffuse reflectance measurements with ±20% scattering perturbations. We examine the performance of our method for reference simulations spanning a broad range of optical properties relevant for diffuse optical imaging of biological tissues. Our predictions are computed using the variance, covariance, and skewness of the photon weight, path length, and collision distributions generated by the reference simulation.

Results

We find that our methodology performs best when used in conjunction with reference cMC simulations that utilize Russian Roulette (RR) method. Specifically, we demonstrate that for a proximal detector placed immediately adjacent to the source, we can estimate the pMC relative error within 5% of the true value for scattering perturbations in the range of [ − 15 % , + 20 % ] . For a distal detector placed at ∼3 transport mean free paths relative to the source, our method provides relative error estimates within 20% for scattering perturbations in the range of [ − 8 % , + 15 % ] . Moreover, reference simulations performed at lower (μs′/μa) values showed better performance for both proximal and distal detectors.

Conclusions

These findings indicate that reference simulations utilizing continuous absorption weighting (CAW) with the Russian Roulette method and executed using optical properties with a low (μs′/μa) ratio spanning the desired range of μ_s values, are highly advantageous for the deployment of pMC to obtain radiative transport estimates over a wide range of optical properties.

Feasibility of postprandial optical scattering of lipoproteins in blood as an optical marker of cardiovascular disease risk: modeling and experimental validation

Anahita Pilvar, Declan Smith, Jorge Plutzky, Darren Roblyer

Journal of Biomedical Optics, Vol. 28, Issue 06, 065002, (June 2023) https://doi.org/10.1117/1.JBO.28.6.065002

TOPICS: Blood, Particles, Mie scattering, Scattering, Simulations, Refractive index, Optical properties, Red blood cells, Plasma, Chemical vapor deposition

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Scalable, modular continuous wave functional near-infrared spectroscopy system (Spotlight)

Daniel Anaya, Gautam Batra, Peter Bracewell, Ryan Catoen, Dev Chakraborty, Mark Chevillet, Pradeep Damodara, Alvin Dominguez, Laurence Emms, Zifan Jiang, Ealgoo Kim, Keith Klumb, Frances Lau, Rosemary Le, Jamie Li, Brett Mateo, Laura Matloff, Asha Mehta, Emily M. Mugler, Akansh Murthy, Sho Nakagome, Ryan Orendorff, E-Fann Saung, Roland Schwarz, Ruben Sethi, Rudy Sevile, Ajay Srivastava, John Sundberg, Ying Yang, Allen Yin

Journal of Biomedical Optics, Vol. 28, Issue 06, 065003, (June 2023) https://doi.org/10.1117/1.JBO.28.6.065003

TOPICS: Hemodynamics, Signal to noise ratio, Near infrared spectroscopy, Silicon photomultipliers, Sensors, Portability, Light emitting diodes, Brain-machine interfaces, Visualization, Magnetic resonance imaging

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Identification of different types of tumors based on photoacoustic spectral analysis: preclinical feasibility studies on skin tumors

Mengjiao Zhang, Long Wen, Chu Zhou, Jing Pan, Shiying Wu, Peiru Wang, Haonan Zhang, Panpan Chen, Qi Chen, Xiuli Wang, Qian Cheng

Journal of Biomedical Optics, Vol. 28, Issue 06, 065004, (June 2023) https://doi.org/10.1117/1.JBO.28.6.065004

TOPICS: Tissues, Tumors, Collagen, Skin, Biological samples, Photoacoustic spectroscopy, Tissue optics, Chromophores, Absorption, Cancer detection

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Spectral analysis of multiple scattering factors of turbid media for glucose measurement using near-infrared spectroscopy

Lu Yue, Han Tongshuai, Liu Wenbo, Ge Qing, Liu Jin

Journal of Biomedical Optics, Vol. 28, Issue 06, 065005, (June 2023) https://doi.org/10.1117/1.JBO.28.6.065005

TOPICS: Glucose, Particles, Scattering, Absorption, Tissues, Refractive index, Absorbance, Mie scattering, Turbidity, Multiple scattering

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Monitoring optoporated process on mammalian cells by real-time measurement of membrane resealing time

Xiaofan Du, Lei Fu, Zhuqu Wang, Zhenxi Zhang, Shudong Jiang, Jing Wang, Cuiping Yao

Journal of Biomedical Optics, Vol. 28, Issue 06, 065006, (June 2023) https://doi.org/10.1117/1.JBO.28.6.065006

TOPICS: Laser irradiation, Fluorescence, Monte Carlo methods, Fluorescence intensity, Diffusion, Molecules, Data modeling, Gold nanoparticles, Time metrology, Pulsed laser operation

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Imaging

Accuracy and precision of depth-resolved estimation of attenuation coefficients in optical coherence tomography

Linda Neubrand, Ton van Leeuwen, Dirk Faber

Journal of Biomedical Optics, Vol. 28, Issue 06, 066001, (June 2023) https://doi.org/10.1117/1.JBO.28.6.066001

TOPICS: Optical coherence tomography, Signal attenuation, Signal to noise ratio, Interference (communication), Tissues, Scattering, Attenuation, Optical properties, Chromium, Statistical analysis

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Stochastic three-dimensional numerical phantoms to enable computational studies in quantitative optoacoustic computed tomography of breast cancer

Seonyeong Park, Umberto Villa, Fu Li, Refik Mert Cam, Alexander A. Oraevsky, Mark A. Anastasio

Journal of Biomedical Optics, Vol. 28, Issue 06, 066002, (June 2023) https://doi.org/10.1117/1.JBO.28.6.066002

TOPICS: Breast, Tissues, Acoustics, Anatomy, Blood, Tissue optics, Blood vessels, Tumors, Stochastic processes, Imaging systems

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Significance

When developing a new quantitative optoacoustic computed tomography (OAT) system for diagnostic imaging of breast cancer, objective assessments of various system designs through human trials are infeasible due to cost and ethical concerns. In prototype stages, however, different system designs can be cost-efficiently assessed via virtual imaging trials (VITs) employing ensembles of digital breast phantoms, i.e., numerical breast phantoms (NBPs), that convey clinically relevant variability in anatomy and optoacoustic tissue properties.

Aim

The aim is to develop a framework for generating ensembles of realistic three-dimensional (3D) anatomical, functional, optical, and acoustic NBPs and numerical lesion phantoms (NLPs) for use in VITs of OAT applications in the diagnostic imaging of breast cancer.

Approach

The generation of the anatomical NBPs was accomplished by extending existing NBPs developed by the U.S. Food and Drug Administration. As these were designed for use in mammography applications, substantial modifications were made to improve blood vasculature modeling for use in OAT. The NLPs were modeled to include viable tumor cells only or a combination of viable tumor cells, necrotic core, and peripheral angiogenesis region. Realistic optoacoustic tissue properties were stochastically assigned in the NBPs and NLPs.

Results

To advance optoacoustic and optical imaging research, 84 datasets have been released; these consist of anatomical, functional, optical, and acoustic NBPs and the corresponding simulated multi-wavelength optical fluence, initial pressure, and OAT measurements. The generated NBPs were compared with clinical data with respect to the volume of breast blood vessels and spatially averaged effective optical attenuation. The usefulness of the proposed framework was demonstrated through a case study to investigate the impact of acoustic heterogeneity on OAT images of the breast.

Conclusions

The proposed framework will enhance the authenticity of virtual OAT studies and can be widely employed for the investigation and development of advanced image reconstruction and machine learning-based methods, as well as the objective evaluation and optimization of the OAT system designs.

Imaging guidance for cholesteatoma surgery using tissue autofluorescence

Stella Yang, Joyce Farrell, Shenglin Ye, Iram Ahmad, Tulio Valdez

Journal of Biomedical Optics, Vol. 28, Issue 06, 066003, (June 2023) https://doi.org/10.1117/1.JBO.28.6.066003

TOPICS: Tissues, Fluorescence, Cameras, Optical filtering, Biological samples, Light sources and illumination, Reflection, Tunable filters, Optical filters, Autofluorescence

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Design and test of a rigid endomicroscopic system for multimodal imaging and femtosecond laser ablation

Chenting Lai, Matteo Calvarese, Karl Reichwald, Hyeonsoo Bae, Mohammadsadegh Vafaeinezhad, Tobias Meyer-Zedler, Franziska Hoffmann, Anna Mühlig, Tino Eidam, Fabian Stutzki, Bernhard Messerschmidt, Herbert Gross, Michael Schmitt, Orlando Guntinas-Lichius, Jürgen Popp

Journal of Biomedical Optics, Vol. 28, Issue 06, 066004, (June 2023) https://doi.org/10.1117/1.JBO.28.6.066004

TOPICS: Tissues, Laser ablation, Imaging systems, Multimodal imaging, Femtosecond phenomena, Biological samples, Pulse signals, Design and modelling, Image resolution, Fluorescence

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Neighbor-based adaptive sparsity orthogonal least square for fluorescence molecular tomography

Huangjian Yi, Sihao Ma, Ruigang Yang, Sheng Zhong, Hongbo Guo, Xuelei He, Xiaowei He, Yuqing Hou

Journal of Biomedical Optics, Vol. 28, Issue 06, 066005, (June 2023) https://doi.org/10.1117/1.JBO.28.6.066005

TOPICS: Reconstruction algorithms, Fluorescence, Medical image reconstruction, Image restoration, Detection and tracking algorithms, 3D vision, 3D acquisition, Animals, Mathematical modeling, Fluorescence tomography

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Microscopy

Enhanced neuroimaging with a calcium sensor in ex-vivo Drosophila melanogaster brains using closed-loop adaptive optics light-sheet fluorescence microscopy

Antoine Hubert, Georges Farkouh, Fabrice Harms, Cynthia Veilly, Sophia Imperato, Mathias Mercier, Vincent Loriette, François Rouyer, Alexandra Fragola

Journal of Biomedical Optics, Vol. 28, Issue 06, 066501, (June 2023) https://doi.org/10.1117/1.JBO.28.6.066501

TOPICS: Adaptive optics, Neuroimaging, Neurons, Calcium, Brain, Wavefront sensors, Sensors, Wavefronts, Wavefront aberrations, Fluorescence

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Light-sheet autofluorescence lifetime imaging with a single-photon avalanche diode array

Kayvan Samimi, Danielle E. Desa, Wei Lin, Kurt Weiss, Joe Li, Jan Huisken, Veronika Miskolci, Anna Huttenlocher, Jenu V. Chacko, Andreas Velten, Jeremy D. Rogers, Kevin W. Eliceiri, Melissa C. Skala

Journal of Biomedical Optics, Vol. 28, Issue 06, 066502, (June 2023) https://doi.org/10.1117/1.JBO.28.6.066502

TOPICS: Single photon avalanche diodes, Fluorescence lifetime imaging, Imaging systems, Cameras, Autofluorescence, Fluorescence, Laser scanners, Biomedical optics, Microscopes, Fluorescence intensity

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Sensing

Hierarchical decision model for in vitro bilirubin content prediction from absorption spectrum of whole blood

Swati Mishra, Harshawardhan Wanare

Journal of Biomedical Optics, Vol. 28, Issue 06, 067001, (June 2023) https://doi.org/10.1117/1.JBO.28.6.067001

TOPICS: Biological samples, Whole blood, Blood, Absorption spectrum, Statistical modeling, In vitro testing, Spectroscopy, Absorption, Glasses, Magnesium

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