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Multi-function sensing applications based on high Q-factor multi-Fano resonances in an all-dielectric metastructure Biomed. Opt. Express (IF 3.4) Pub Date : 2024-03-15 Shuangshuang Cao, Xinye Fan, Wenjing Fang, Mengcheng Du, Qinghe Sun, Huijuan Niu, Chuanchuan Li, Xin Wei, Chenglin Bai, Jifang Tao, Mingxin Li, Baoxi Chen, and Santosh Kumar
A multi-function sensor based on an all-dielectric metastructure for temperature and refractive index sensing simultaneously is designed and analyzed in this paper. The structure is composed of a periodic array of silicon dimers placed on the silicon dioxide substrate. By breaking the symmetry of the structure, the ideal bound states in the continuum can be converted to the quasi-bound states in the
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Tissue mimicking materials and finger phantom design for pulse oximetry Biomed. Opt. Express (IF 3.4) Pub Date : 2024-03-12 Andres J. Rodriguez, Sandhya Vasudevan, Masoud Farahmand, Sandy Weininger, William C. Vogt, Christopher G. Scully, Jessica Ramella-Roman, and T. Joshua Pfefer
Pulse oximetry represents a ubiquitous clinical application of optics in modern medicine. Recent studies have raised concerns regarding the potential impact of confounders, such as variable skin pigmentation and perfusion, on blood oxygen saturation measurement accuracy in pulse oximeters. Tissue-mimicking phantom testing offers a low-cost, well-controlled solution for characterizing device performance
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Plasmonic nano-bowls for monitoring intra-membrane changes in liposomes, and DNA-based nanocarriers in suspension Biomed. Opt. Express (IF 3.4) Pub Date : 2024-03-12 Sathi Das, Jean-Claude Tinguely, Sybil Akua Okyerewa Obuobi, Nataša Škalko-Basnet, Kanchan Saxena, Balpreet Singh Ahluwalia, and Dalip Singh Mehta
Programmable nanoscale carriers, such as liposomes and DNA, are readily being explored for personalized medicine or disease prediction and diagnostics. The characterization of these nanocarriers is limited and challenging due to their complex chemical composition. Here, we demonstrate the utilization of surface-enhanced Raman spectroscopy (SERS), which provides a unique molecular fingerprint of the
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Single-fiber probes for combined sensing and imaging in biological tissue: recent developments and prospects Biomed. Opt. Express (IF 3.4) Pub Date : 2024-03-15 Jiawen Li, Stephen C. Warren-Smith, Robert A. McLaughlin, and Heike Ebendorff-Heidepriem
Single-fiber-based sensing and imaging probes enable the co-located and simultaneous observation and measurement (i.e., ‘sense’ and ‘see’) of intricate biological processes within deep anatomical structures. This innovation opens new opportunities for investigating complex physiological phenomena and potentially allows more accurate diagnosis and monitoring of disease. This prospective review starts
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User-friendly oblique plane microscopy on a fully functional commercially available microscope base Biomed. Opt. Express (IF 3.4) Pub Date : 2024-03-14 George Sirinakis, Edward S. Allgeyer, Dmitry Nashchekin, and Daniel St. Johnston
In this work we present an oblique plane microscope designed to work seamlessly with a commercially available microscope base. To support all the functionality offered by the microscope base, where the position of the objective lens is not fixed, we adopted a two-mirror scanning geometry that can compensate for changes to the position of the objective lens during routine microscope operation. We showed
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High spatiotemporal mapping of cortical blood flow velocity with an enhanced accuracy Biomed. Opt. Express (IF 3.4) Pub Date : 2024-03-15 Tian Jin, Baochen Li, Linyang Li, Weizhi Qi, and Lei Xi
Cerebral blood flow velocity is one of the most essential parameters related to brain functions and diseases. However, most existing mapping methods suffer from either inaccuracy or lengthy sampling time. In this study, we propose a particle-size-related calibration method to improve the measurement accuracy and a random-access strategy to suppress the sampling time. Based on the proposed methods,
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Brain tumor grading diagnosis using transfer learning based on optical coherence tomography Biomed. Opt. Express (IF 3.4) Pub Date : 2024-03-13 Sanford P. C. Hsu, Miao-Hui Lin, Chun-Fu Lin, Tien-Yu Hsiao, Yi-Min Wang, and Chia-Wei Sun
In neurosurgery, accurately identifying brain tumor tissue is vital for reducing recurrence. Current imaging techniques have limitations, prompting the exploration of alternative methods. This study validated a binary hierarchical classification of brain tissues: normal tissue, primary central nervous system lymphoma (PCNSL), high-grade glioma (HGG), and low-grade glioma (LGG) using transfer learning
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Preserving shape details of pulse signals for video-based blood pressure estimation Biomed. Opt. Express (IF 3.4) Pub Date : 2024-03-15 Xuesong Han, Xuezhi Yang, Shuai Fang, Yawei Chen, Qin Chen, Longwei Li, and RenCheng Song
In recent years, imaging photoplethysmograph (iPPG) pulse signals have been widely used in the research of non-contact blood pressure (BP) estimation, in which BP estimation based on pulse features is the main research direction. Pulse features are directly related to the shape of pulse signals while iPPG pulse signals are easily disturbed during the extraction process. To mitigate the impact of pulse
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Imaging the intracellular refractive index distribution (IRID) for dynamic label-free living colon cancer cells via circularly depolarization decay model (CDDM) Biomed. Opt. Express (IF 3.4) Pub Date : 2024-03-15 Huijun Wang, Lu Zhang, Jie Huang, Zewen Yang, Chen Fan, Li Yuan, Hong Zhao, Zhenxi Zhang, and Xiaolong Liu
Label-free detection of intracellular substances for living cancer cells remains a significant hurdle in cancer pathogenesis research. Although the sensitivity of light polarization to intracellular substances has been validated, current studies are predominantly focused on tissue lesions, thus label-free detection of substances within individual living cancer cells is still a challenge. The main difficulty
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Terahertz polarimetric imaging of biological tissue: Monte Carlo modeling of signal contrast mechanisms due to Mie scattering Biomed. Opt. Express (IF 3.4) Pub Date : 2024-03-13 Kuangyi Xu and M. Hassan Arbab
Many promising biomedical applications have been proposed for terahertz (THz) spectroscopy and diagnostic imaging techniques. Polarimetric imaging systems are generally useful for enhancing imaging contrasts, yet the interplay between THz polarization changes and the random discrete structures in biological samples is not well understood. In this work, we performed Monte Carlo simulations of the propagation
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Miniature, multi-dichroic instrument for measuring the concentration of multiple fluorophores Biomed. Opt. Express (IF 3.4) Pub Date : 2024-03-14 Konstantin Grygoryev, Huihui Lu, Simon Sørensen, Omid Talebi Varnosfaderani, Rachel Georgel, Liyao Li, Ray Burke, and Stefan Andersson-Engels
Identification of tumour margins during resection of the brain is critical for improving the post-operative outcomes. Due to the highly infiltrative nature of glioblastoma multiforme (GBM) and limited intraoperative visualization of the tumour margin, incomplete surgical resection has been observed to occur in up to 80 % of GBM cases, leading to nearly universal tumour recurrence and overall poor prognosis
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Employing texture loss to denoise OCT images using generative adversarial networks Biomed. Opt. Express (IF 3.4) Pub Date : 2024-03-11 Maryam Mehdizadeh, Sajib Saha, David Alonso-Caneiro, Jason Kugelman, Cara MacNish, and Fred Chen
OCT is a widely used clinical ophthalmic imaging technique, but the presence of speckle noise can obscure important pathological features and hinder accurate segmentation. This paper presents a novel method for denoising optical coherence tomography (OCT) images using a combination of texture loss and generative adversarial networks (GANs). Previous approaches have integrated deep learning techniques
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Fast volumetric multifocus structured illumination microscopy of subcellular dynamics in living cells Biomed. Opt. Express (IF 3.4) Pub Date : 2024-03-11 Maximilian Lukas Senftleben, Antone Bajor, Eduardo Hirata, Sara Abrahamsson, and Hjalmar Brismar
Studying the nanoscale dynamics of subcellular structures is possible with 2D structured illumination microscopy (SIM). The method allows for acquisition with improved resolution over typical widefield. For 3D samples, the acquisition speed is inherently limited by the need to acquire sequential two-dimensional planes to create a volume. Here, we present a development of multifocus SIM designed to
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Low-cost 3D printed lenses for brightfield and fluorescence microscopy Biomed. Opt. Express (IF 3.4) Pub Date : 2024-03-07 Jay Christopher, Liam M. Rooney, Mark Donnachie, Deepak Uttamchandani, Gail McConnell, and Ralf Bauer
We present the fabrication and implementation of low-cost optical quality 3D printed lenses, and their application as microscope objectives with different prescriptions. The imaging performance of the 3D printed lenses was benchmarked against commercially available optics including a 20 mm focal length 12.7 mm diameter NBK-7 plano-convex lens used as a low magnification objective, and a separate high
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Dynamic model for the strain-modulated spectral reflectance of the human skin in vivo Biomed. Opt. Express (IF 3.4) Pub Date : 2024-03-07 Zongze Huo, Shibin Wang, Huixin Wei, Xuanshi Cheng, Linan Li, Chuanwei Li, and Zhiyong Wang
Hyperspectral imaging (HSI) offers a wealth of information regarding human skin. In this study, we established a dynamic skin spectral reflectance model (DSSR) relating the reflectance to skin surface strain, considering multi physiological and physical parameters of the skin. Experimentally, by HSI, we measured the reflectance variance of the forearm skin in vivo caused by the surface strain, and
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Siamese deep learning video flow cytometry for automatic and label-free clinical cervical cancer cell analysis Biomed. Opt. Express (IF 3.4) Pub Date : 2024-03-04 Chao Liu, Zeng Yuan, Qiao Liu, Kun Song, Beihua Kong, and Xuantao Su
Automatic and label-free screening methods may help to reduce cervical cancer mortality rates, especially in developing regions. The latest advances of deep learning in the biomedical optics field provide a more automatic approach to solving clinical dilemmas. However, existing deep learning methods face challenges, such as the requirement of manually annotated training sets for clinical sample analysis
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In-vivo assessment of a rat rectal tumor using optical-resolution photoacoustic endoscopy Biomed. Opt. Express (IF 3.4) Pub Date : 2024-03-08 Riqiang Lin, Shengmiao Lv, Wenjing Lou, Xiatian Wang, Zhihua Xie, Silue Zeng, Rui Chen, Wen Gao, Tianan Jiang, Ka-Wai Eric Cheng, Kwok-Ho Lam, and Xiaojing Gong
Optical-resolution photoacoustic endoscopy (OR-PAE) has been proven to realize imaging on the vascular network in the gastrointestinal (GI) tract with high sensitivity and spatial resolution, providing morphological information. Various photoacoustic endoscopic catheters were developed to improve the resolution and adaptivity of in-vivo imaging. However, this technology has not yet been validated on
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Multicolor two-photon light-patterning microscope exploiting the spatio-temporal properties of a fiber bundle Biomed. Opt. Express (IF 3.4) Pub Date : 2024-03-04 Antonio Lorca-Cámara, Christophe Tourain, Vincent de Sars, Valentina Emiliani, and Nicolò Accanto
The development of efficient genetically encoded indicators and actuators has opened up the possibility of reading and manipulating neuronal activity in living tissues with light. To achieve precise and reconfigurable targeting of large numbers of neurons with single-cell resolution within arbitrary volumes, different groups have recently developed all-optical strategies based on two-photon excitation
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Implicit neural representations in light microscopy Biomed. Opt. Express (IF 3.4) Pub Date : 2024-03-06 Sophie Louise Hauser, Johanna Brosig, Bhargavi Murthy, Alessio Attardo, and Andreas M. Kist
Three-dimensional stacks acquired with confocal or two-photon microscopy are crucial for studying neuroanatomy. However, high-resolution image stacks acquired at multiple depths are time-consuming and susceptible to photobleaching. In vivo microscopy is further prone to motion artifacts. In this work, we suggest that deep neural networks with sine activation functions encoding implicit neural representations
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Interferometric near-infrared spectroscopy (iNIRS) reveals that blood flow index depends on wavelength Biomed. Opt. Express (IF 3.4) Pub Date : 2024-03-06 Dibbyan Mazumder, Oybek Kholiqov, and Vivek J. Srinivasan
Blood flow index (BFI) is an optically accessible parameter, with unit distance-squared-over-time, that is widely used as a proxy for tissue perfusion. BFI is defined as the dynamic scattering probability (i.e. the ratio of dynamic to overall reduced scattering coefficients) times an effective Brownian diffusion coefficient that describes red blood cell (RBC) motion. Here, using a wavelength division
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Introduction to the Optics and the Brain 2023 feature issue Biomed. Opt. Express (IF 3.4) Pub Date : 2024-03-04 Adam Q. Bauer, Emily A. Gibson, Hui Wang, and Vivek J. Srinivasan
A feature issue is being presented by a team of guest editors containing papers based on contributed submissions including studies presented at Optics and the Brain, held April 24-27, 2023 as part of Optica Biophotonics Congress: Optics in the Life Sciences, in Vancouver, Canada
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Performance enhancement of diffuse fluorescence tomography based on an extended Kalman filtering-long short term memory neural network correction model Biomed. Opt. Express (IF 3.4) Pub Date : 2024-03-04 Lingxiu Xing, Limin Zhang, Wenjing Sun, Zhuanxia He, Yanqi Zhang, and Feng Gao
To alleviate the ill-posedness of diffuse fluorescence tomography (DFT) reconstruction and improve imaging quality and speed, a model-derived deep-learning method is proposed by combining extended Kalman filtering (EKF) with a long short term memory (LSTM) neural network, where the iterative process parameters acquired by implementing semi-iteration EKF (SEKF) served as inputs to the LSTM neural network
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Optical coherence tomography for multicellular tumor spheroid category recognition and drug screening classification via multi-spatial-superficial-parameter and machine learning Biomed. Opt. Express (IF 3.4) Pub Date : 2024-03-04 Feng Yan, Bornface Mutembei, Trisha Valerio, Gokhan Gunay, Ji-Hee Ha, Qinghao Zhang, Chen Wang, Ebenezer Raj Selvaraj Mercyshalinie, Zaid A. Alhajeri, Fan Zhang, Lauren E. Dockery, Xinwei Li, Ronghao Liu, Danny N. Dhanasekaran, Handan Acar, Wei R. Chen, and Qinggong Tang
Optical coherence tomography (OCT) is an ideal imaging technique for noninvasive and longitudinal monitoring of multicellular tumor spheroids (MCTS). However, the internal structure features within MCTS from OCT images are still not fully utilized. In this study, we developed cross-statistical, cross-screening, and composite-hyperparameter feature processing methods in conjunction with 12 machine learning
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Fair non-contact blood pressure estimation using imaging photoplethysmography Biomed. Opt. Express (IF 3.4) Pub Date : 2024-03-05 Hongli Fang, Jiping Xiong, and Linying He
Hypertension is typically manifested as a latent symptom that requires detection through specialized equipment. This poses an inconvenience for individuals who need to undergo long-term blood pressure monitoring in their daily lives. Therefore, there is a need for a portable, non-contact method for estimating blood pressure. However, current non-contact blood pressure estimation methods often rely
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Analog multiplexing of a laser clock and computational photon counting for fast fluorescence lifetime imaging microscopy Biomed. Opt. Express (IF 3.4) Pub Date : 2024-03-04 Rishyashring R. Iyer, Janet E. Sorrells, Kevin K. D. Tan, Lingxiao Yang, Geng Wang, Haohua Tu, and Stephen A. Boppart
The dynamic range and fluctuations of fluorescence intensities and lifetimes in biological samples are large, demanding fast, precise, and versatile techniques. Among the high-speed fluorescence lifetime imaging microscopy (FLIM) techniques, directly sampling the output of analog single-photon detectors at GHz rates combined with computational photon counting can handle a larger range of photon rates
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Deep learning-assisted low-cost autofluorescence microscopy for rapid slide-free imaging with virtual histological staining Biomed. Opt. Express (IF 3.4) Pub Date : 2024-03-06 Ivy H. M. Wong, Zhenghui Chen, Lulin Shi, Claudia T. K. Lo, Lei Kang, Weixing Dai, and Terence T. W. Wong
Slide-free imaging techniques have shown great promise in improving the histological workflow. For example, computational high-throughput autofluorescence microscopy by pattern illumination (CHAMP) has achieved high resolution with a long depth of field, which, however, requires a costly ultraviolet laser. Here, simply using a low-cost light-emitting diode (LED), we propose a deep learning-assisted
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Dual modality intravascular catheter system combining pulse-sampling fluorescence lifetime imaging and polarization-sensitive optical coherence tomography Biomed. Opt. Express (IF 3.4) Pub Date : 2024-03-05 Julien Bec, Xiangnan Zhou, Martin Villiger, Jeffrey A. Southard, Brett Bouma, and Laura Marcu
The clinical management of coronary artery disease and the prevention of acute coronary syndromes require knowledge of the underlying atherosclerotic plaque pathobiology. Hybrid imaging modalities capable of comprehensive assessment of biochemical and morphological plaques features can address this need. Here we report the first implementation of an intravascular catheter system combining fluorescence
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All-optical dual module platform for motility-based functional scrutiny of microencapsulated probiotic bacteria Biomed. Opt. Express (IF 3.4) Pub Date : 2024-03-06 Zhe Wang, Giusy Giugliano, Jaromir Behal, Michela Schiavo, Pasquale Memmolo, Lisa Miccio, Simonetta Grilli, Filomena Nazzaro, Pietro Ferraro, and Vittorio Bianco
Probiotic bacteria are widely used in pharmaceutics to offer health benefits. Microencapsulation is used to deliver probiotics into the human body. Capsules in the stomach have to keep bacteria constrained until release occurs in the intestine. Once outside, bacteria must maintain enough motility to reach the intestine walls. Here, we develop a platform based on two label-free optical modules for rapidly
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PDMS-embedded wearable FBG sensors for gesture recognition and communication assistance Biomed. Opt. Express (IF 3.4) Pub Date : 2024-02-27 Kun Xiao, Zhuo Wang, Yudong Ye, Chuanxin Teng, and Rui Min
This study introduces fiber Bragg grating (FBG) sensors embedded in polydimethylsiloxane (PDMS) silicone elastomer specifically engineered for recognizing intricate gestures like wrist pitch, finger bending, and mouth movement. Sensors with different PDMS patch thicknesses underwent evaluation including thermal, tensile strain, and bending deformation characterization, demonstrating a stability of
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3D-printed biosensors in biomedical applications exploiting plasmonic phenomena and antibody self-assembled monolayers Biomed. Opt. Express (IF 3.4) Pub Date : 2024-02-29 Francesco Arcadio, Waqar Ali, Debora Bencivenga, Domenico Del Prete, Chiara Marzano, Lorena Saitta, Emanuela Stampone, Rosario Cennamo, Vincenzo Carafa, Lucia Altucci, Luigi Zeni, Gianluca Cicala, and Nunzio Cennamo
In this work, a 3D-printed plasmonic chip based on a silver-gold bilayer was developed in order to enhance the optical response of the surface plasmon resonance (SPR) probe. More specifically, numerical and experimental results were obtained on the 3D-printed SPR platform based on a silver-gold bilayer. Then, the optimized probe's gold plasmonic interface was functionalized with a specific antibody
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Exploring in-vivo infrared spectroscopy for nail-based diabetes screening Biomed. Opt. Express (IF 3.4) Pub Date : 2024-02-28 Daniela Lazaro-Pacheco, Philip F Taday, and Päivi Maria Paldánius
Diabetes screening is traditionally complex, inefficient, and reliant on invasive sampling. This study evaluates near-infrared spectroscopy for non-invasive detection of glycated keratin in nails in vivo. Glycation of keratin, prevalent in tissues like nails and skin, is a key indicator of T2DM risk. In this study involving 200 participants (100 with diabetes, 100 without), NIR’s efficacy was compared
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Multi-wavelength multi-distance diffuse correlation spectroscopy system for assessment of premature infants’ cerebral hemodynamics Biomed. Opt. Express (IF 3.4) Pub Date : 2024-02-29 Nikola Otic, John Sunwoo, Yujing Huang, Alyssa Martin, Mitchell B. Robinson, Bernhard Zimmermann, Stefan Carp, Terrie Inder, Mohamed El-Dib, Maria Angela Franceschini, and Marco Renna
Infants born at an extremely low gestational age (ELGA, < 29 weeks) are at an increased risk of intraventricular hemorrhage (IVH), and there is a need for standalone, safe, easy-to-use tools for monitoring cerebral hemodynamics. We have built a multi-wavelength multi-distance diffuse correlation spectroscopy device (MW-MD-DCS), which utilizes time-multiplexed, long-coherence lasers at 785, 808, and
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Quantitative pharmacokinetic and biodistribution studies for fluorescent imaging agents Biomed. Opt. Express (IF 3.4) Pub Date : 2024-02-26 Yichen Feng, Sanjana Pannem, Sassan Hodge, Cody Rounds, Kenneth M. Tichauer, Keith D. Paulsen, and Kimberley S. Samkoe
Pharmacokinetics and biodistribution studies are essential for characterizing fluorescent agents in vivo. However, few simple methods based on fluorescence imaging are available that account for tissue optical properties and sample volume differences. We describe a method for simultaneously quantifying mean fluorescence intensity of whole blood and homogenized tissues in glass capillary tubes for two
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Enhanced model iteration algorithm with graph neural network for diffuse optical tomography Biomed. Opt. Express (IF 3.4) Pub Date : 2024-02-27 Huangjian Yi, Ruigang Yang, Yishuo Wang, Yihan Wang, Hongbo Guo, Xu Cao, Shouping Zhu, and Xiaowei He
Diffuse optical tomography (DOT) employs near-infrared light to reveal the optical parameters of biological tissues. Due to the strong scattering of photons in tissues and the limited surface measurements, DOT reconstruction is severely ill-posed. The Levenberg-Marquardt (LM) is a popular iteration method for DOT, however, it is computationally expensive and its reconstruction accuracy needs improvement
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Next-generation endoscopic probe for detection of esophageal dysplasia using combined OCT and angle-resolved low-coherence interferometry Biomed. Opt. Express (IF 3.4) Pub Date : 2024-02-28 Evan T. Jelly, Zachary A. Steelman, Haoran Zhang, Kengyeh K. Chu, Cary C. Cotton, Swathi Eluri, Nicholas J. Shaheen, and Adam Wax
Angle-resolved low-coherence interferometry (a/LCI) is an optical technique that enables depth-specific measurements of nuclear morphology, with applications to detecting epithelial cancers in various organs. Previous a/LCI setups have been limited by costly fiber-optic components and large footprints. Here, we present a novel a/LCI instrument incorporating a channel for optical coherence tomography
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Optimizing clinical O2 saturation mapping using hyperspectral imaging and diffuse reflectance spectroscopy in the context of epinephrine injection Biomed. Opt. Express (IF 3.4) Pub Date : 2024-02-29 Nils Gustafsson, Josefine Bunke, Ludvig Magnusson, John Albinsson, Julio Hérnandez-Palacios, Rafi Sheikh, Malin Malmsjö, and Aboma Merdasa
Clinical determination of oxygen saturation (sO2) in patients is commonly performed via non-invasive optical techniques. However, reliance on a few wavelengths and some form of pre-determined calibration introduces limits to how these methods can be used. One example involves the assessment of sO2 after injection of local anesthetic using epinephrine, where some controversy exists around the time it
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Rapid and accurate identification of bacteria utilizing laser-induced breakdown spectroscopy Biomed. Opt. Express (IF 3.4) Pub Date : 2024-02-26 J. H. Liang, S. Q. Wang, W. F. Zhang, Y. Guo, Y. Zhang, F. Chen, L. Zhang, W. B. Yin, L. T. Xiao, and S. T. Jia
Timely and accurate identification of harmful bacterial species in the environment is paramount for preventing the spread of diseases and ensuring food safety. In this study, laser-induced breakdown spectroscopy technology was utilized, combined with four machine learning methods - KNN, PCA-KNN, RF, and SVM, to conduct classification and identification research on 7 different types of bacteria, adhering
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Controllable editing via diffusion inversion on ultra-widefield fluorescein angiography for the comprehensive analysis of diabetic retinopathy Biomed. Opt. Express (IF 3.4) Pub Date : 2024-02-23 Xiao Ma, Zexuan Ji, Qiang Chen, Lexin Ge, Xiaoling Wang, Changzheng Chen, and Wen Fan
By incorporating multiple indicators that facilitate clinical decision making and effective management of diabetic retinopathy (DR), a comprehensive understanding of the progression of the disease can be achieved. However, the diversity of DR complications poses challenges to the automatic analysis of various information within images. This study aims to establish a deep learning system designed to
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Beyond synthetic aperture focusing: deconvolution-based elevation resolution enhancement using simulated point spread function for linear array-based three-dimensional photoacoustic imaging Biomed. Opt. Express (IF 3.4) Pub Date : 2024-02-23 Yichuan Tang, Wojciech G. Lesniak, Shang Gao, Yixuan Wu, Martin G. Pomper, and Haichong K. Zhang
This paper introduces a deconvolution-based method to enhance the elevation resolution of a linear array-based three-dimensional (3D) photoacoustic (PA) imaging system. PA imaging combines the high contrast of optical imaging with the deep, multi-centimeter spatial resolution of ultrasound (US) imaging, providing structural and functional information about biological tissues. Linear array-based 3D
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Novel Techniques in Microscopy: introduction to the feature issue Biomed. Opt. Express (IF 3.4) Pub Date : 2024-02-22 Shuo Tang, Daniel Elson, and Nicholas Durr
The editors introduce the feature issue on “Novel Techniques in Microscopy,” which was the topic of a symposium held on April 24–27, 2023, in Vancouver, BC. This symposium was part of the Optics in the Life Sciences Congress.
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Towards ultrafast quantitative phase imaging via differentiable microscopy [Invited] Biomed. Opt. Express (IF 3.4) Pub Date : 2024-02-22 Udith Haputhanthri, Kithmini Herath, Ramith Hettiarachchi, Hasindu Kariyawasam, Azeem Ahmad, Balpreet S. Ahluwalia, Ganesh Acharya, Chamira U. S. Edussooriya, and Dushan N. Wadduwage
With applications ranging from metabolomics to histopathology, quantitative phase microscopy (QPM) is a powerful label-free imaging modality. Despite significant advances in fast multiplexed imaging sensors and deep-learning-based inverse solvers, the throughput of QPM is currently limited by the pixel-rate of the image sensors. Complementarily, to improve throughput further, here we propose to acquire
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High-speed, phase contrast retinal and blood flow imaging using an adaptive optics partially confocal multi-line ophthalmoscope Biomed. Opt. Express (IF 3.4) Pub Date : 2024-02-22 Soohyun Lee, Stacey S. Choi, Ratheesh K. Meleppat, Robert J. Zawadzki, and Nathan Doble
High-speed, phase contrast retinal and blood flow imaging using an adaptive optics partially confocal multi-line ophthalmosocope (AO-pcMLO) is described. It allows for simultaneous confocal and phase contrast imaging with various directional multi-line illumination by using a single 2D camera and a digital micromirror device (DMD). Both vertical and horizontal line illumination directions were tested
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Plug-and-play DPC-based quantitative phase microscope Biomed. Opt. Express (IF 3.4) Pub Date : 2024-02-21 Tao Peng, Zeyu Ke, Hao Wu, Jun He, Yue Sun, Shuhe Zhang, Qian Gao, Meng Shao, Shengzhao Zhang, Zhensheng Zhong, FengYa Lu, and Jinhua Zhou
Point-of-care testing (POCT) plays an increasingly important role in biomedical research and health care. Quantitative phase microscopes (QPMs) with good contrast, no invasion, no labeling, high speed and automation could be effectively applied for POCT. However, most QPMs are fixed on the optical platform with bulky size, lack of timeliness, which remained challenging in POCT solutions. In this paper
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Plug-and-play DPC-based quantitative phase microscope Biomed. Opt. Express (IF 3.4) Pub Date : 2024-02-21 Tao Peng, Zeyu Ke, Hao Wu, Jun He, Yue Sun, Shuhe Zhang, Qian Gao, Meng Shao, Shengzhao Zhang, Zhensheng Zhong, FengYa Lu, and Jinhua Zhou
Point-of-care testing (POCT) plays an increasingly important role in biomedical research and health care. Quantitative phase microscopes (QPMs) with good contrast, no invasion, no labeling, high speed and automation could be effectively applied for POCT. However, most QPMs are fixed on the optical platform with bulky size, lack of timeliness, which remained challenging in POCT solutions. In this paper
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Noninvasive hemoglobin quantification across different cohorts using a wearable diffuse reflectance spectroscopy system Biomed. Opt. Express (IF 3.4) Pub Date : 2024-02-20 Ying-Yu Chen, Guan-Hua Lai, Chia-Te Chen, Hsiu-Chi Cheng, and Sheng-Hao Tseng
Quantifying hemoglobin is vital yet invasive through blood draws. We developed a wearable diffuse reflectance spectroscopy device comprising control and sensor boards with photodiodes and light-emitting diodes to noninvasively determine hemoglobin. Neural networks enabled recovery of optical parameters for chromophore fitting to calculate hemoglobin. Testing healthy and elderly subjects revealed strong
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Towards a mini-endoscope design with spatially selective excitation and imaging Biomed. Opt. Express (IF 3.4) Pub Date : 2024-02-20 Loïc Tabourin, Frédéric Bretzner, and Tigran Galstian
We describe a mini-endoscope design that uses a new type of electrically tunable liquid crystal lens array enabling the dynamic increase of spatial resolution by adjusting the working distance in various zones of interest over a relatively large field of view (FoV) without mechanical movement. The characterization of the system is performed by using uniform fluorescent films, fluorescent micro spheres
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Multicolor fluorescence microscopy for surgical guidance using a chip-scale imager with a low-NA fiber optic plate and a multi-bandpass interference filter Biomed. Opt. Express (IF 3.4) Pub Date : 2024-02-20 Micah Roschelle, Rozhan Rabbani, Efthymios Papageorgiou, Hui Zhang, Matthew Cooperberg, Bradley A. Stohr, Ali Niknejad, and Mekhail Anwar
In curative-intent cancer surgery, intraoperative fluorescence imaging of both diseased and healthy tissue can help to ensure the successful removal of all gross and microscopic diseases with minimal damage to neighboring critical structures, such as nerves. Current fluorescence-guided surgery (FGS) systems, however, rely on bulky and rigid optics that incur performance-limiting trade-offs between
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In vivo measurement of the biomechanical properties of human skin with motion-corrected Brillouin microscopy Biomed. Opt. Express (IF 3.4) Pub Date : 2024-02-20 Maria N. Romodina, Asha Parmar, and Kanwarpal Singh
Biomechanical testing of human skin in vivo is important to study the aging process and pathological conditions such as skin cancer. Brillouin microscopy allows the all-optical, non-contact visualization of the mechanical properties of cells and tissues over space. Here, we use the combination of Brillouin microscopy and optical coherence tomography for motion-corrected, depth-resolved biomechanical
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In-situ background-free Raman probe using double-cladding anti-resonant hollow-core fibers Biomed. Opt. Express (IF 3.4) Pub Date : 2024-02-16 Shufan Luan, Si Chen, Xinyue Zhu, Dakun Wu, Fei Yu, Junjiang Hu, Chunlei Yu, and Lili Hu
This study presents the development of an in-situ background-free Raman fiber probe, employing two customized double-cladding anti-resonant hollow-core fibers (AR-HCFs). The Raman background noise measured in the AR-HCF probe is lower than that of a conventional multi-mode silica fiber by two orders of magnitude. A plug-in device for fiber coupling optics was designed that was compatible with a commercially
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Optical characterization of native aerosols from e-cigarettes in localized volumes Biomed. Opt. Express (IF 3.4) Pub Date : 2024-02-16 Erick Zora-Guzman and Jose R. Guzman-Sepulveda
Measuring the size distribution of aerosols typically requires processing a sample, specifically to adjust the particle concentration to an adequate level. Unfortunately, this manipulation can significantly alter the native composition of some aerosols, which can lead to unreliable or even unusable measurements. We demonstrate that coherence-gated dynamic light scattering is suitable to measure the
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Segmentation of anatomical layers and imaging artifacts in intravascular polarization sensitive optical coherence tomography using attending physician and boundary cardinality losses Biomed. Opt. Express (IF 3.4) Pub Date : 2024-02-16 Mohammad Haft-Javaherian, Martin Villiger, Kenichiro Otsuka, Joost Daemen, Peter Libby, Polina Golland, and Brett E. Bouma
Intravascular ultrasound and optical coherence tomography are widely available for assessing coronary stenoses and provide critical information to optimize percutaneous coronary intervention. Intravascular polarization-sensitive optical coherence tomography (PS-OCT) measures the polarization state of the light scattered by the vessel wall in addition to conventional cross-sectional images of subsurface
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Deep learning-assisted 3D laser steering using an optofluidic laser scanner Biomed. Opt. Express (IF 3.4) Pub Date : 2024-02-15 Chunqi Zhang, Ruofeng Wei, Hangjie Mo, Yujia Zhai, and Dong Sun
Laser ablation is an effective treatment modality. However, current laser scanners suffer from laser defocusing when scanning targets at different depths in a 3D surgical scene. This study proposes a deep learning-assisted 3D laser steering strategy for minimally invasive surgery that eliminates laser defocusing, increases working distance, and extends scanning range. An optofluidic laser scanner is
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Photodynamic treatment of malignant melanoma with structured light: in silico Monte Carlo modeling Biomed. Opt. Express (IF 3.4) Pub Date : 2024-02-15 Alexander Doronin, Vladislav V. Yakovlev, and Vanderlei S. Bagnato
In this report, we propose a novel strategy for the photodynamic approach to the treatment of melanoma, aiming to mitigate the excessive absorption and consequent thermal effects. The cornerstone of this approach is an innovative structured illumination technique that optimizes light delivery to the tissue. The methodology of this in silico study involves the development of an optical model of human
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Deep convolutional neural networks-based scatterer density and resolution estimators in optical coherence tomography: erratum Biomed. Opt. Express (IF 3.4) Pub Date : 2024-02-15 Thitiya Seesan, Ibrahim Abd El-Sadek, Pradipta Mukherjee, Lida Zhu, Kensuke Oikawa, Arata Miyazawa, Larina Tzu-Wei Shen, Satoshi Matsusaka, Prathan Buranasiri, Shuichi Makita, and Yoshiaki Yasuno
Errata are presented to correct the inconsistencies between the values and their units displayed in the figures and the texts in our published manuscript [Biomed. Opt. Express 13, 168 (2022) [CrossRef] ]. The errors were caused by the unit presentation of the original manuscript, and hence, it does not affect the main results and the conclusion.
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Portable optical fiber biosensors integrated with smartphone: technologies, applications, and challenges [Invited] Biomed. Opt. Express (IF 3.4) Pub Date : 2024-02-14 Chengwei Yang, Zhuo Wang, Kun Xiao, Nikolai Ushakov, Santosh Kumar, Xiaoli Li, and Rui Min
The increasing demand for individualized health monitoring and diagnostics has prompted considerable research into the integration of portable optical fiber biosensors integrated with smartphones. By capitalizing on the benefits offered by optical fibers, these biosensors enable qualitative and quantitative biosensing across a wide range of applications. The integration of these sensors with smartphones
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PA-NeRF, a neural radiance field model for 3D photoacoustic tomography reconstruction from limited Bscan data Biomed. Opt. Express (IF 3.4) Pub Date : 2024-02-14 Yun Zou, Yixiao Lin, and Quing Zhu
We introduce a novel deep-learning-based photoacoustic tomography method called Photoacoustic Tomography Neural Radiance Field (PA-NeRF) for reconstructing 3D volumetric PAT images from limited 2D Bscan data. In conventional 3D volumetric imaging, a 3D reconstruction requires transducer element data obtained from all directions. Our model employs a NeRF-based PAT 3D reconstruction method, which learns
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Rhodamine-based fluorescent probe for dynamic STED imaging of mitochondria Biomed. Opt. Express (IF 3.4) Pub Date : 2024-02-13 Xinwei Gao, Songtao Cai, Luwei Wang, Yong Guo, Liwei Liu, Xiaoyu Weng, Kun Huang, Wei Yan, and Junle Qu
Stimulated emission depletion (STED) microscopy holds tremendous potential and practical implications in the field of biomedicine. However, the weak anti-bleaching performance remains a major challenge limiting the application of STED fluorescent probes. Meanwhile, the main excitation wavelengths of most reported STED fluorescent probes were below 500 nm or above 600 nm, and few of them were between
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Self-attention CNN for retinal layer segmentation in OCT Biomed. Opt. Express (IF 3.4) Pub Date : 2024-02-13 Guogang Cao, Yan Wu, Zeyu Peng, Zhilin Zhou, and Cuixia Dai
The structure of the retinal layers provides valuable diagnostic information for many ophthalmic diseases. Optical coherence tomography (OCT) obtains cross-sectional images of the retina, which reveals information about the retinal layers. The U-net based approaches are prominent in retinal layering methods, which are usually beneficial to local characteristics but not good at obtaining long-distance
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Comparison of modal and zonal wavefront measurements of refractive extended depth of focus intraocular lenses Biomed. Opt. Express (IF 3.4) Pub Date : 2024-02-13 Seung Pil Bang, HaeWon Jung, Kaccie Y. Li, and Geunyoung Yoon
Extended depth-of-focus (EDoF) intraocular lenses (IOLs) are typically evaluated using commercially available aberrometers. Given the intricate optical design of these IOLs, employing an appropriate wavefront reconstruction method with a sufficient sampling resolution of the aberrometer is crucial. A high-resolution Shack–Hartmann wavefront sensor was developed by magnifying the pupil aperture by a
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Comb spectroscopy of CO2 produced from microbial metabolism Biomed. Opt. Express (IF 3.4) Pub Date : 2024-02-12 Joshua A. Whitaker-Lockwood, Sarah K. Scholten, Faisal Karim, André N. Luiten, and Christopher Perrella
We have developed a direct frequency comb spectroscopy instrument, which we have tested on Saccharomyces cerevisiae (baker’s yeast) by measuring its CO2 output and production rate as we varied the environmental conditions, including the amount and type of feed sugar, the temperature, and the amount of yeast. By feeding isotopically-enhanced sugar to the yeast, we demonstrate the capability of our device