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Optical components, devices and systems, both passive and active, operating in the X-ray ultra-violet (UV), visible (VIS), near-infrared (NIR) and mid-IR (MIR) spectral regions, for use in: medical, biological and environmental sensing, early disease diagnosis, disease progression or regression monitoring and medical treatment and surgery. Components, devices and systems including: waveguides sensors, lab-on-chip, light delivery devices, passive fibers, bright sources such as fiber lasers and supercontinuum generation, bundles and detectors. These are essential elements needed to perform biological and clinical laboratories and in-vivo medical procedures for the 21st century. This conference will cover various topics in these fields.

The conference will cover the following topics:
The aim of the conference is to bring together researchers, scientists, engineers, clinicians, industrialists, entrepreneurs and students belonging to different disciplines who have a common interest in the development and use of optical sensing and fiber-based techniques and methodologies. We aim to create a synergistic environment for discussion and growth of the field.

The conference puts a strong emphasize on translation research as well commercialization. A special industry session will be incorporated.

The conference subject is particularly suitable to obtain the right balance among the various disciplines. To this aim, the papers should report on both technical and biomedical advances. Contributions focusing on the development of fibers, endoscopic delivery, and diagnostic systems sensing methods for applications in all biomedical areas are solicited.;
In progress – view active session
Conference 11953

Optical Fibers and Sensors for Medical Diagnostics, Treatment and Environmental Applications XXII

In person: 22 - 23 January 2022
View Session ∨
  • 1: Optical Fibers and Sensors I
  • 2: Keynote I
  • 3: Optical Fibers and Sensors II
  • 4: Optical Fibers and Sensors III
  • 5: Optical Fibers and Sensors IV
  • 6: Optical Fibers and Sensors V
  • 7: Keynote II
  • 8: Optical Fibers and Sensors VI
  • 9: Optical Fibers and Sensors VII
  • 10: Optical Fibers and Sensors VIII
  • Posters


  • Submissions are accepted through 06-December
  • Notification of acceptance by 20-December

View Call for Papers PDF Flyer
Session 1: Optical Fibers and Sensors I
Author(s): Hyeonwoo Lee, Kyunghwan Oh, Yonsei Univ. (Korea, Republic of)
Author(s): Ari Petteri Hokkanen, Markku Kapulainen, VTT Technical Research Centre of Finland Ltd (Finland)
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Cellulose materials offer new biodegradable alternatives for fabricating optical fibers for sensing applications. These environmentally friendly materials have intrinsic properties that existing glass and polymer fibers lack. Cellulose fibers can rapidly take liquids in and also dry quickly. They also can be resistant or dissolves in water. In this work, three different cellulose based optical fibers have been developed: regenerated cellulose, methylcellulose and carboxymethyl cellulose fibers. These fibers were used for respiratory rate monitoring with a loop-type sensor structure. Short-range 150 Mbit/s signal transmission at 1310 nm was also demonstrated using CMC fiber. This can be utilized in sensors applications.
Author(s): Derek J. Cassidy, John T. Sheridan, UCD (Ireland)
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In this paper we investigate the use of photopolymer material as the sensor medium. This research will focus on the creation of self-written waveguides with the photopolymer and the interaction with the environment. This SWW can be used to measure direction of propagation and angle of incidence upon the polymer material. Under environmental force new SWWs can be measured and recorded within the PVA/AA on a 3D plane. These newly created SWWs, from numerical modelling, can represent the interaction with the surrounding environment. This can be used to measure force and direction of movement.
Author(s): Viacheslav G. Artyushenko, art photonics GmbH (Germany)
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Review of the progress in fiber solutions for innovative applications in 0.3-16µm range, including multispectral diagnostics & process-control, new cables for IR-lasers, IR-fiber imaging, etc. The innovative combi-fiber probes enable multi-spectral analysis with data fusion from: Fluo+ Raman, Fluo+Mid ATR-absorption spectra and other combinations – to enhance tumor margin detection and more precise process-control to be done in iCloud. The 1st dual wavelength sensor coupled with Combi-Fluo/ATR-absorption probe - to replace expensive research spectrometers for customized applications, starting the spectral IoT sensor family. Multiwavelength QCL-sensor made with 7xQC-Lasers combined by Mid IR-fiber bundle into the arthroscopy probe with side ATR-tip enables to detect osteoarthritis in cartilage. Comparison of 5 types IR-fibers: Polycrystalline AgClBr, Hollow Waveguides & based on AsS-, GeO- & Fluoride glasses will be done to navigate end-users for an optimal choice in their applications
Author(s): Niyazi Ulas Dinc, Giulia Panusa, Demetri Psaltis, Ecole Polytechnique Federale de Lausanne (Switzerland)
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Single-mode optical waveguides are one of the fundamental photonic components and the building block for compact multicore bundles. The cross-talk of a waveguide bundle might scramble the information and reduce the resolution. To get the highest possible resolution on a fixed field of view (FOV), we propose to optimize the core to core spacing via assessing the reconstruction accuracy of the output images of the bundle processed by a deep neural network (DNN), where the obtained bundle is 3D printed via direct laser writing. We demonstrate the DNN based optimization scheme and the fabrication of a waveguide bundle of 10-µm core-to-core spacing to image various digit layouts in a (120 µm)^2 FOV.
Author(s): Katsumasa Iwai, Hiroyuki Takaku, National Institute of Technology, Sendai College (Japan); Mitsunobu Miyagi, Tohoku Institute of Technology (Japan); Yi-Wei Shi, Xiao-Song Zhu, Key Laboratory for Information Science of Electromagnetic Waves (MoE), Fudan University (China); Yuji Matsuura, Graduate School of Engineering, Tohoku University (Japan)
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A Ni-Ti tube is used as a supporting tube for the infrared hollow optical fiber to obtain flexibility and strong mechanical strength. The loss of hollow optical fiber is inversely proportional to the cube of the inner diameter. Considering this, it is expected that hollow optical fibers with large inner diameter have a small transmission loss. Even with a large inner diameter of 700 μm, the Ni-Ti tube with a wall thickness of 75 μm can be bent with a small force to a bending radius of 15 mm. Therefore, 700-μm-bore hollow fiber based on Ni-Ti tube was fabricated. In order to reduce roughness of inner surface of Ni-Ti tube, an acrylic-silicon resin material is used as a buffer layer to the inner wall of Ni-Ti tube for a low-loss characteristic. For the dielectric inner-coating layer, cyclic olefin polymer (COP) is used to make the transmission loss low. The hollow optical fibers with optimized COP thickness for CO2 laser light were fabricated and transmission losses were demonstrated.
Session 2: Keynote I
Author(s): Tsu-Te Judith Su, Wyant College of Optical Sciences (United States)
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Sensitive, label-free, and selective sensors are of importance for a wide variety of applications, in particular medical diagnostics, and environmental monitoring. Microtoroid optical resonators, when combined with frequency locking, balanced detection, and data processing techniques, are capable of single molecule detection. We have developed such a system called FLOWER (frequency locked optical whispering evanescent resonator). We discuss our latest work on using FLOWER for a variety of applications including medical diagnostics for ovarian cancer and Alzheimer’s disease, chemical threat sensing, and drug screening. In addition, we discuss our next generation sensing platforms.
Session 3: Optical Fibers and Sensors II
Author(s): Zhenpeng Qin, University of Texas at Dallas (United States)
Author(s): Benjamin Croop, Kyu Young Han, Univ of Central Florida (United States)
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Total internal reflection fluorescence (TIRF) is a popular type of illumination used in fluorescence microscopy for surface imaging of biospecimens; however, the commonly used objective-based TIRF illumination can induce artifacts that degrade the image. We previously demonstrated a fiber bundle that reshaped an input beam to achieve artifact-free TIRF illumination with coherent or incoherent light sources. Here we demonstrate an improved design using a photonic lantern, which will increase the power throughput by reducing coupling losses at the input facet. The improved power efficiency will facilitate new capabilities such as super-resolution imaging.
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Exosomes are important mediators of intercellular communications and carry parent cell-specific cargo of proteins. Toward the endeavor of tracking exosomes in real-time, this work reports a fiber-optic sensor functionalized with anti-CD63 to quantitatively measure the exosomes by quantifying exosomal CD63 in real-time. An anti-CD63 antibody functionalized surface plasmon resonance (SPR)-based fiber-optic sensor was developed that measured variations in localized SPR due to the changes in local refractive index in response to CD63 binding onto the fiber. Gold-thiol chemistry was used to covalently functionalize the fiber-optic probe with anti-CD63. In our preliminary experiment, the fiber-optic sensor exhibited a sensitivity of 2.83 % light reflection variations per pg/ml concentration of CD63 per cm2 sensing area and a limit of detection of 2.64 pg/ml. The sensor holds promises in future point-of-care device development, significantly impacting early diagnosis and therapeutic planning.
Session 4: Optical Fibers and Sensors III
Author(s): Oshrit Avraham Hoffer, Afeka College of Engineering (Israel); Eli Konen, Sackler Faculty of Medicine (Israel); Yair Zimmer, Afeka College of Engineering (Israel)
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Thermography is a non-ionizing, non-invasive, and low-cost imaging modality. Skin temperature can reflect the presence of inflammation in underlying tissues or where blood flow is increased or decreased because of a clinical abnormality. We developed a novel integrated image processing and machine learning algorithm for COVID-19 detection. Following IRB approval, we captured thermal images of the back of individuals with and without COVID-19 using a portable thermal camera that is connected directly to smartphones. Our algorithm computed and stored several texture parameters obtained from the thermal images. The next step was to test the ability of the algorithm to detect COVID-19. We used a linear SVM classifier with 5-fold cross-validation. The obtained sensitivity was 95%, and the specificity was 71%. In summary, we show that an integrated system of portable thermal camera and machine learning algorithm can be used to detect COVID-19.Non-contact thermal infrared imaging is a simple
Author(s): Ryo Oe, Takuya Nakahara, Yu Tokizane, Tokushima Univ (Japan); Shuji Taue, Kochi Univ. Tech. (Japan); Takeo Minamikawa, Takeshi Yasui, Tokushima Univ (Japan)
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One interesting feature of optical frequency comb (OFC) is a function of frequency conversion between region and electric regions. While such feature has been used for generation of correct electric signal in microwave or millimeter region, it can be further used for fiber sensing; namely, sensing OFC. In this paper, we demonstrated detection of SARS-CoV-2 antigen based on a combination of a fiber comb, an intracavity multi-mode-interference fiber sensor, and surface modification of sensor surface with SARS-CoV-2 antibody.
Author(s): Priyanka Thawany, Umesh Tiwari, CSIR - Central Scientific Instruments Organisation (India)
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This paper demonstrates D-optical fiber plasmonic sensor for sensitive detection of refractive index. The fabrication of D-optical fiber has been performed by wet etching technique for the formation of suitable curvature for the excitation of surface plasmons that resulted in better sensitivity due to the enhanced coupling of surface plasmon polaritons (SPP) modes at the point of discontinuity. Bovine Serum Albumin (BSA) plays an important role in delivering the fatty acid/amino acid etc. In this work, a modified 400micron multimode D shaped fiber coated with a gold thin film of approximately 40-50 nm thickness using Magnetron sputtering unit is used as a sensing platform for the detection of BSA protein. The BSA antibody is immobilized by thiol reduction process over the gold coated sensor surface. The shift in the resonance wavelength in the absorption spectra was studied for RI sensing. The sensitivity of the sensor was calculated to be 1200 nm/RIU.
Author(s): Takashi Katagiri, University of Toyama (Japan)
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Fiber couplers based on hollow metallic fibers were designed and fabricated to branch and combine mid-infrared laser light with low loss. The fiber coupler was fabricated by side-polishing and bonding two hollow metallic fibers bent at an arbitrary curvature. The branching ratio is precisely aligned by the position shift amount of the two fibers in the optical axis direction. The fabricated coupler showed a branching ratio of 0 - 50% and an excess loss of less than 1 dB.
Author(s): Rafael Andrade Vieira, Vitaly Felix Rodriguez-Esquerre, Escola Politécnica da Univ Federal da Bahia (Brazil)
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In this work, we design and numerically analyze a D-shaped photonic crystal fiber (PCF) plasmonic sensor based on metallic grating. The influence of the geometrical and optical parameters of the metallic grating on the performance of the proposed plasmonic refractive index sensor are thoroughly investigated considering several metals and grating configurations. The metallic grating is placed over the polished surface and gold and silver are used for this purpose. The sensitivity of the sensor and the resonant wavelength can be tuned by judiciously adjusting the grating parameters: shape, thickness, width and period. The proposed sensor exhibits excellent sensing characteristics and can be applied for several real time and fast response applications such as biological, biochemical and environmental sensing..
Session 5: Optical Fibers and Sensors IV
Author(s): Yaning Wang, shuwen wei, Jin U Kang, Johns Hopkins Univ (United States)
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We developed a fully automated abdominal tissue classification algorithm for swept-source OCT imaging using a hybrid multilayer perceptron (MLP) and convolutional neural network (CNN) classifier. For MLP, we incorporated an extensive set of features and a subset was chosen to improve network efficiency. For CNN, we designed a three-channel model combining the intensity information with depth-dependent optical properties of tissues. A rule-based decision fusion approach was applied to find more convincing predictions between these two portions. Our model was trained using ex vivo porcine samples, (~200 B-mode images, ~200,000 A-line signals), evaluated by a holdout dataset. Compared to other algorithms, our classifiers achieve the highest accuracy of 0.9114 and precision of 0.9106. Theis promising results showed its feasibility for real-time abdominal tissue sensing during surgery using OCT.
Author(s): Shoujing Guo, Johns Hopkins University (United States); William G. Gensheimer, Warfighter Eye Center, Malcolm Grow Medical Clinics and Surgery Center (United States), Department of Surgery, Division of Ophthalmology, Uniformed Services University (United States); Jin U. Kang, Department of Electrical and Computer Engineering, Johns Hopkins University (United States)
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Deep anterior lamellar keratoplasty (DALK) using a “Big Bubble” technique requires precision insertion of a dissection needle into paracentral corneal stroma for air/fluid injection. We designed and built a downward viewing common-path optical coherence tomography (OCT) for guiding the hydro-dissection needle. The system was tested using rabbit cornea disks and the results showed that the downward distal sensor can accurately detect the needle tip position relative to Descemet’s membrane during the insertion.
Author(s): Xiaoguang Sun, Kyle bedard, Jie Li, OFS (United States)
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We present a new modified graded-index (GRIN) fiber lens for extending the depth of field (DOF) of a miniature optical fiber probe for optical coherence tomography (OCT). The index profile of the GRIN fiber is designed to extend the DOF by 2X using a single piece of the GRIN fiber lens while maintaining an outside diameter of 125 μm. The output beam profiles of the optical fiber probe made with such G.RIN fiber lens are measured and found to be in good agreement with the theoretical simulation
Author(s): Shing-Jiuan Liu, Soheil Ghiasi, Weijian Yang, University of California Davis (United States)
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We propose a novel non-invasive approach to transabdominally measure fetal oxygen saturation via time-domain near-infrared spectroscopy. We employ the frequency-modulated continuous-wave technique to measure the time-resolved reflectance of near-infrared light shining on the maternal abdomen. The time-of-flight reflectance reveals path-lengths of different photons traveling through the tissue, facilitating the separation of signal from the shallow maternal layer and the deep fetal layer. Using two optical wavelengths, oxygen saturation of the fetus can be measured. This technique has the potential to improve labor outcomes by providing an important assessment of fetal health intrapartum.
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Infection of COVID-19 disease can lead to severe pneumonia, acute respiratory distress syndrome, sepsis, septic shock and death. This condition requires immediate emergency medical attention because it develops within short time span and need to be treated in intensive care units (ICU). Difficulty or shortness in breathing causes poor oxygen supply to the various parts of the body. Due to the poor supply of oxygen, the body hemodynamic parameters like heartbeat rate, blood oxygen saturation, systolic blood pressure, mean arterial blood pressure perfusion index and respiratory rate gets alter to maintain physiological conditions of the critical patient which may lead to complications or death. Therefore, we have proposed single lead PPG sensor based device which monitors all these relevant hemodynamic parameters at bedside in real-time non-invasively could possibly help to improve, accelerate treatment planning and able to monitor patents response towards drugs of COVID-19.
Author(s): Haimabati Dey, Peter Bermel, Purdue Univ (United States)
Session 6: Optical Fibers and Sensors V
Author(s): Oshrit Avraham Hoffer, Eyal Katz, Yair Zimmer, Afeka College of Engineering (Israel)
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Thermography is a non-ionizing, non-invasive, and low-cost imaging modality. Malignant tumors are characterized by high metabolic and perfusion rates. They express different temperature distribution compared with the surrounding healthy tissue. We have investigated thermal images of cervix tumors to quantify the response to brachytherapy. We are aiming to develop a real-time feedback system based on thermal image analysis to assess the efficacy of the oncological treatment. This method enables alteration of treatment at early stage in case treatment is shown to be not effective. The method enables individualized treatment schedules for optimal treatment effectiveness. Following IRB approval, six patients receiving therapy for advanced cervical carcinoma were offered to participate in this study and signed an informed consent. Patients were monitored before and after brachytherapy. Our algorithm calculated and stored the texture parameters obtained from the cooccurrence matrix. The next
Author(s): Alberto Vallan, Guido Perrone, Politecnico di Torino (Italy)
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The paper presents a set of all-fiber applicators for tumor laser ablation that exploit either the direct absorption of light by the tissue or the indirect heating through the evanescent wave absorption by a suitable metallic coating and integrate innovative very dense fiber Bragg grating arrays to add quasi-distributed sensing capabilities. The probes are analyzed in different conditions comparing the measurements in ex-vivo porcine livers with modeling expectations.
Author(s): Yaning Wang, shuwen wei, Jin U Kang, Johns Hopkins Univ (United States)
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Optical coherence tomography (OCT) with a robust depth-resolved attenuation compensation method for a wide range of imaging applications is proposed and demonstrated. We derive a model for deducing the compensation value using the depth-dependent attenuation and backscattering profiles, to mitigate under and over-compensation in tissue imaging. We validated the method using phantoms and the bovine corneas, where we achieved stable and robust compensation results over the entire depth of samples. The experiment results are evaluated using signal-to-noise (SNR) and contrast-to-noise (CNR) metrics. The comparison between other image enhancement models and our proposed model is also performed.
Author(s): Rafael Fuentes Dominguez, University of Nottingham (United Kingdom)
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We present a method to transfer ultra-thin polymer-encapsulated metallic metasurfaces onto optical fibers to enable ultra-thin imaging devices. The metasurface is first fabricated by e-beam lithography on a silicon substrate and encapsulated by a resist layer. After patterning the resist layer to the targeted shape, the encapsulated metasurfaces are peeled off from the substrate then glued onto the tip of a single- or multi-mode optical fiber. We design and fabricate a range of metasurfaces useful for a range of imaging modalities, including zone-plate lenses, axicons, wire-grid polarisers and multi-wavelength lenses.
Author(s): Ksenia Abrashitova, ARCNL (Netherlands)
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Fast super-resolution deep tissue imaging has long been a challenge. In life sciences, an endoscopic probe can be put inside the region of interest to overcome scattering and absorption. However, the resolution of state-of-the-art micro-endoscopy is limited by the diffraction of light. Super-resolution microscopy techniques suffer from low speed and require specific fluorescent labelling. There is still a high demand for a fast super-resolution label-free technique that can be implemented in a compact format. Here we present fiber-based label-free imaging with video-rate speed and at a resolution more than 2 times better than the diffraction limit.
Author(s): Willi G. Mantei, Benedikt Stender, Jonas Wiedenmann, Multiphoton Optics GmbH (Germany); Elias Scharf, Robert Kuschmierz, Jürgen Czarske, TU Dresden (Germany)
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Recently, 3D imaging endoscopes have made their way into endoscopy and enable three-dimensional visualization. While many of them require optics with mounts increasing the fibers diameter, two-photon polymerization enables mount-free fabrication of optical elements directly on the tip of fibers. Using multicore fibers combined with diffractive optical elements (DOE) enables the phase to be taken into account in measurements in addition to intensity, enabling 3D imaging. While each multicore fiber has an individual distribution of phase differences, an individual DOE is required, which can be fabricated rapidly and stitching-free with high precision using maskless 3D lithography.
Session 7: Keynote II
Author(s): Michael Gensch, DLR Institute of Optical Sensor Systems (Germany)
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Spectroscopic techniques and optical sensors utilized to study extraterrestrial environments e.g. on Mars are reviewed. Specific challenges for the design of instruments, arising from e.g. the harsh operational conditions or stringent requirements for compactness, are discussed. An outlook is given how emerging photonic technologies such as compact, space-ready short-pulse fiber lasers could lead to a new generation of space instruments.
Session 8: Optical Fibers and Sensors VI
Author(s): Arkadiy A. Lyakh, Luke Milbocker, Univ of Central Florida (United States)
Author(s): Mona Jarrahi, UCLA Samueli School of Engineering (United States)
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In this talk, I will give an overview of the unique applications of terahertz waves for chemical identification, material characterization, biomedical sensing and diagnostics and describe the state of the existing terahertz imaging and sensing technologies and their limitations. I will introduce a game changing technology that enables high performance, low cost, and compact terahertz spectroscopy and imaging systems for various applications. More specifically, I will introduce plasmonic terahertz imaging and spectroscopy systems, which offer several orders of magnitude higher signal-to-noise ratio levels compared to the state of the art.
Author(s): Trey B. Daunis, Kevin P. Clark, Jennifer Dussor, Max-IR Labs (United States); Kimari Hodges, Max-IR Labs (United States), Univ of Texas at Dallas (United States); Dennis I. Robbins, Katy Roodenko, Max-IR Labs (United States)
Author(s): Mariano Troccoli, Evolution Photonics Inc (United States)
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In this talk we will explore current applications of QCLs to environmental sensing and analyze the devices’ limitations and their potential impact if some of their present weaknesses were to be addressed. The use of QCLs and Mid-IR technologies in general will be put in the context of environmental applications’ needs and requirements and compared with other existing and competing solutions. The broader market implications and main commercialization opportunities will be outlined.
Session 9: Optical Fibers and Sensors VII
Author(s): Christoph Kratz, ISAS e.V. (Germany); Jörg Rappich, Helmholtz-Zentrum Berlin für Materialien und Energie GmbH (Germany); Karsten Hinrichs, ISAS e.V. (Germany)
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A microfluidic platform coupled to IR spectroscopies for bio-sensing and vibrational spectroscopic investigations of molecular monolayers and their adsorption kinetics is presented. The platform combines metallic island enhancement substrates with microfluidic chips of selectable material and is constructed for IR or Raman microscopic reflection measurements. Involvement of IR laser ellipsometry (acknowledgement to EFRE 1.8/13) potentially allows for sensitive sub-second studies or fast hyperspectral imaging. Various molecular adsorption isotherms during the formation of monolayers on bare or functionalized metallic island surfaces, the adsorption of molecules as well as chemical changes were studied. Potential applications are bio-sensing and bio-medical sensing as well as in the study of processes e.g. enzymatic reactions or chemical reactions, receptor–ligand interactions or structural changes of molecules due to environmental stimuli.
Author(s): Mikel Azkune, Igor Ayesta, Eneko Arrospide, Joseba Zubia, Univ. del País Vasco (Spain)
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A new approach of fiber enhanced Raman spectroscopy for different metal cations detection and quantification is presented. The creation of a functional sodium-alginate hydrogel within the core of a self-fabricated microstructured polymer optical fiber, allows light guidance of the incident and scattered light due to the modified total internal reflection. This fact enhances the Raman spectra of the molecules placed in the core. Moreover, the functional hydrogel created in the core is capable of differentiating among high and low affinity target molecules. Experimental results demonstrate the feasibility of this sensing platform due to the aforementioned selectivity and Raman enhancement.
Author(s): Gwangho Choi, Adley Gin, Judith Su, University of Arizona (United States)
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Frequency locked optical microtoroid resonators can detect single molecules, however, they still require capture probes. Optical frequency combs in a microresonator can provide molecular spectroscopic information. Here we demonstrate generation of optical frequency combs using a microtoroid in air and water by achieving anomalous dispersion via intermodal coupling. We believe that this will enable single molecule detection and identification molecules without labels or capture probes.
Author(s): John Barton, William Cote, Sheetal Chanda, Gary E. Carver, Sarah Locknar, Omega Optical LLC (United States); Manish Gupta, Nikira Labs Inc (United States)
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Raman spectroscopy is used extensively, from handheld substance identification systems to in-vivo cancer detection. The ability to quickly and non-invasively identify compounds based on intrinsic vibrational signatures has seen Raman applications skyrocket in recent years - many using endoscopic probes. This paper describes the modeling, deposition, lithographic patterning, and testing of filters directly deposited onto the distal tip of a fiber bundle. These spectrally sharp bandpass and long pass filters allow for the detection of Raman scattering down to about 200 cm-1. Blocking of laser radiation to OD6 is enabled by coating both the distal and proximal tips.
Author(s): Hong-Thai Nguyen, Department of Mechanical Engineering, National Chung Cheng University (Taiwan); Shih-Wei Feng, Department of Applied Physics, National University of Kaohsiung (Taiwan); Vladimir E. Fedorov, Nikolaev Institute of Inorganic Chemistry (Russian Federation); Hsiang-Chen Wang, Department of Mechanical Engineering, National Chung Cheng University (Taiwan)
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A Lab-on-chip was established to investigate the physical and material properties of p-type and n-type photoelectrochemical (PEC) biosensors. Photoelectric signals were collected from scanning electron microscopy (SEM), X-ray diffraction (XRD), UV–vis reflectance spectroscopy, and photocurrent response analyses. Four types of human esophageal cancer cells (ECCs) were used as subjects to analyze the properties of p-type and n-type biosensors. The results showed that the amount of photocurrent measured in advanced cancer stages is smaller than that in early cancer stages. The change in photocurrent response is due to the number of redox reactions carried out by the decline of Glutathione (L-glutathione reduced, GSH) and glutathione disulfide (GSSG) in cancer cells. Our lab-on-chip has enabled identifying ECC stages by determining the level of photocurrent response.
Session 10: Optical Fibers and Sensors VIII
Author(s): Michalis N. Zervas, University of Southampton (United Kingdom); Maria Konstantaki, Stavros Pissadakis, Foundation for Research and Technology-Hellas (Greece)
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Chemical pesticides drone spraying is becoming increasingly available due to its advantages such as autonomy and fast operation. A major consideration that currently limits widespan application of the technique is the undesirable drift of the spraying cloud in neighboring areas. Herein we propose the use of optical fiber long period gratings (LPGs) of extended length (~9cm) as line sensors for tracing spraying droplet distribution. Preliminary results indicate a linear trend between particle density and LPG wavelength shift and extinction ratio change. Indicatively, for a coverage of 3.9 droplets/mm2 the corresponding LPG strength and wavelength changes are 1.3dB and 65pm, respectively.
Author(s): Mika Tei, Japan Agency for Marine-Earth Science and Technology (Japan)
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Root system architecture is shown to determine crop resilience and productivity, which is key to solve the rising threat of food insecurity. Root grows invisibly underground, thus it is difficult to track root development non-invasively and real-time. In this study, we developed a novel imaging device using a distributed fiber optic sensor. By formulating the sensor into a plastic and durable polytetrafluoroethylene film structure, the device could continuously monitor strains generated by root growth underground. This novel device represents a significant addition for agricultural technology which increasingly becoming automated with seamless feedback through Internet-of-Things remote sensors.
Author(s): Shwinky Bhatti, CSIR-CSIO, Chandigarh (India), Academy of Scientific and Council Research (AcSIR), Ghaziabad, Uttar Pradesh (India); Girish C. Mohanta, Aditi Chopra, CSIR-CSIO (India), Academy of Scientific and Council Research (AcSIR) (India); Sudipta Sarkar, CSIR-CSIO,Chandigarh (India), Academy of Scientific and Council Research (AcSIR) (India)
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Present study aims to monitor artificial fruit ripening by detecting ethylene gas using sensing material integrated optical fiber probe. Here optical fiber acts as sensor probe as well as waveguide to launch and collect light.
Author(s): Karvan Kaushal, Umesh Tiwari, Rajesh Kanawade, CSIR - Central Scientific Instruments Organisation (India)
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In this research work we signify SMF coated Polystyrene (PS) as a sensing platform for volatile organic gases detection. The sensing mechanism relies on change in the length of the Fabry-Perot Interferometric (FPI) cavity in the presence of varied concentrations of VOCs, results in shifting of interference pattern to longer wavelength. Refractive index change due to increase in concentration is also prominent in this sensor. The response of the developed sensor was measured with various Volatile Organic Compounds (VOCs) such as Methanol, Acetone and Isopropanol in the concentration ranging from 1 to 20 ppm. The sensitivity and limit of detection of developed FPI sensor were observed between the order of around 0.7ppm to 3.2 pm/ppm respectively. The response and recovery time of sensor were found between the order of 10 to 20 seconds and 12 to 25 seconds respectively for the measured VOCs. Developed VOC sensor can be in future used for breathe VOC monitoring.
Conference attendees are invited to attend the BiOS poster session. Come view the posters, enjoy light refreshments, ask questions, and network with colleagues in your field.

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Author(s): Yu-Jiun Chen, Chia-Wei Sun, Chieh-Hsun Tsai, National Yang Ming Chiao Tung University (Taiwan)
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This research was found that good results were obtained by using machine learning in the classification of the three groups. The sensitivity of chronic migraine and specificity of medication-overuse headache reached 100 %, and the specificity of chronic migraine and sensitivity of medication-overuse headache reached 75 %. The results prove that functional near-infrared spectroscopy combines with machine learning is feasible and reliable for the migraine classification.
Author(s): Po-Yuan Chen, Chia-Wei Sun, National Yang Ming Chiao Tung Univ (Taiwan)
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This research emits near-infrared light into the wrist and receives the light scattered from the wrist in the form of an image. Then we analyze the information from the received photons and we use deep learning to analyze the data more deeply so that we can predict the bone density. This research employs a neural network called U-net for deep learning. After training, we compare the result with DXA to see whether the training result conforms to the DXA values. We also use the obtained wrist image to predict the bone density value of other parts of the body.
Author(s): Yu Han Zheng, Yi-Chih Chen, Chia-Wei Sun, National Yang Ming Chiao Tung Univ. (Taiwan)
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Near-infrared spectroscopy (NIRS) has been proposed as a noninvasive modality for monitoring the blood oxygen concentration changes in the microcirculation of the patient’s surrounding tissues. It can monitor the hemodynamic changes in the microcirculation of the patients under the adjuvant treatment of extracorporeal membrane oxygenation (ECMO). The results show that oxygenated hemoglobin levels change substantially with adjustments in ECMO flow, and they are more sensitive than hypoxic hemoglobin levels and the tissue saturation index (TSI) are, which can provide clinicians with more treatment information and improve the effectiveness of treatment.
Author(s): Joseba Zubia Zaballa, Gotzon Aldabaldetreku, Gaizka Durana, MA Illarramendi, Univ del País Vasco (Spain)
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Although extensive work has been done over the last 40 years on propagation in multimode fibers, and especially on graded-index fibers, research in this field is still very active. Recently, new fibers with an inverted refractive index profile (from now on IGI fibers), which increases as one moves away from the fiber axis, have been developed. These fibers have been shown to be effective for the design and development of chemical and biological optical fiber sensors. However, to date no general solution for ray propagation in these fibers has been found. In this paper we will show the general solution for ray propagation in IGI fibers. We will also show other relevant results such as the classification of the rays, the solution for particular cases of meridional and skew rays, the position of the internal caustics and the ray half period among others.
Author(s): Ji Su Kim, Min Yong Jeon, Chungnam National Univ (Korea, Republic of)
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In this paper, we report a simultaneous measurement of strain and temperature applied to the FBG by using a machine learning approach. The WSL has a one-to-one correspondence between the spectral domain and the temporal domain. By measuring the signal in the temporal domain instead of the spectral domain, it is easy to collect rapidly changing data. Based on the collected data set, a machine learning technique was used to distinguish the temperature and strain applied to the FBG.
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We propose a new type of probe to measure cerebral blood flow and stimulate the brain simultaneously. In this paper, functional near-infrared spectroscopy (fNIRS) and transcranial direct current stimulation (tDCS) are selected as brain signal monitoring and stimulation methods, respectively. Design the integrated probe, that the channels of fNIRS and tDCS are co-located. The Proposed device can stimulate the brain and measure cerebral blood flow in the target area simultaneously. We investigated whether the proposed probe directly induces cortical activation by transcranial direct current stimulation.
Author(s): Paulo Soares, IPL/ISEL (Portugal); Alessandro Fantoni, Miguel Fernandes, IPL/ISEL (Portugal), CTS -UNINOVA (Portugal)
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Photonic systems are gaining an important role in the field of medical diagnosis due to the achievable high sensitivity and selectivity and low cost, enabling the fabrication of disposable point of care diagnosis systems for multiple pathologies. In this work we present the detector subsystem developed for a multi-channel surface plasmon resonance (SPR) based sensor. The core of the system is a multimode interferometer splitter, fabricated in amorphous silicon, followed by multiple sensitive SPR structures that modulate the transmitted light waves which are then detected by infrared detectors. For this purpose a highly adaptable detection system based on a InGaAs line CCD device was developed. The first results of the application of this multichannel SPR sensor for simultaneous detection of multiple analytes are presented.
Author(s): Sugandha Das, Vinod Kumar Singh, Indian Institute of Technology (Indian School of Mines) Dhanbad (India)
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The present study reports on the numerical investigation carried out on a newly designed photonic crystal fiber (PCF) based plasmonic sensor for sensitivity enhancement and wide range refractive index (RI) detection. Gold (Au) is used as active plasmonic material and an additional overlayer of tantalum pentoxide (Ta2O5) is used. This study presents the detail sensor performance without and with the Ta2O5 overlayer by using finite element method (FEM) and the sensor performance is analysed using surface plasmon resonance (SPR) phenomena. Maximum sensitivity of 9500 nm/RIU is reported in this study. Moreover, as the wide detection range falls into the analyte of biological interest, so, after proper functionalization the proposed sensor can be treated with biorecognition elements and finally biofunctionalized sensing probe can be applicable as potential biosensor.
Author(s): MEHMET MUCAHIT ARSLAN, Bursa Technical University (Turkey), Turkish Aerospace Industry (Turkey)
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. In this study, a novel design of temperature compensated FBG sensor package, manufacturing of polyimide coated FBG sensors and finally montaging of the manufactured FBG sensors to the corresponding package is presented. In addition, designed package has been tested under discrete and continuous loading conditions. Obtained results showed that, with the designed package it is possible to measure the strain change in terms of sensing capability of 1.2 micro strain (με) up to 80℃.
Author(s): Seung Seok Lee, Eun Seo Choi, Chosun Univ (Korea, Republic of)
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We construct a dispersive interferometer based on chirped fiber Bragg gratings(CFBG) and demonstrate improved ranging characteristics. By using a CFBG as a dispersive medium in the reference arm, it was possible to range up to 1 cm, which is beyond the theoretical depth range of 5.8 mm given by both the CW broadband source and the spectrometer. The theoretical background as well as the experimental results will be presented. By using the suggested method, it is expected to be an alternative for extending the depth range of the existing SD-OCT system.
Author(s): Karthik Vishwanath, Miami University (United States)
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A non-contact diffuse reflectance spectroscopy (DRS) system can gather subsurface information in turbid media such as biological tissues painlessly and non-invasively. Simple free-space beams were used to create spatially separated source and detector spots with oblique illumination. An analysis of changing beam diameters, working distance and source-detector separation on the quality of the signal collected will be quantified, and compared to the standard fiber-based DRS system.
Author(s): Haimabati Dey, Peter Bermel, Purdue Univ (United States)
Author(s): Md Tauseef Iqbal Ansari, Sanjeev Kumar Raghuwanshi, Indian Institute of Technology Indian School of Mines Dhanbad (India)
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Food adulteration is a global concern, and developing countries are at serious threat owing to a lack of supervision and laws. Conventional and qualitative detection techniques are limited due to the more sophisticated way of milk adulteration and involve complexity in the processes. In this paper, the surface plasmon resonance (SPR) based fiber-optic sensor for detecting milk adulteration is presented. This kind of sensor is much sensitive to the change in the refractive index of the outer surrounding medium. In our proposed sensor, we utilise the MMF coated with Silver (Ag) metal to enhance the sensor's sensitivity to a greater extent. The SPR sensors offer the possibility of very low concentrations detection of adulterants with real-time monitoring. Prior to conducting experiments, simulations have been carried out to acknowledge the appropriate thickness of the Ag layer required for optimum sensitivity. The result shows that both simulations and experiments met with good agreement.
Author(s): Haimabati Dey, Peter Bermel, Purdue Univ (United States)
Conference Chair
Johns Hopkins Univ. (United States), Tel Aviv Univ. (Israel)
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MAX IR Labs (United States)
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art photonics GmbH (Germany)
Program Committee
Polymicro Technologies, A Subsidiary of Molex Incorporated (United States)
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U.S. Food and Drug Administration (United States)
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Johns Hopkins Univ. (United States)
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Technische Hochschule Mittelhessen (Germany)
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The Univ. of Arizona (United States)
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Tohoku Univ. (Japan)
Program Committee
The Univ. of Nottingham (United Kingdom)