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77 results for “Optical fiber”
Parker Flex-it Stylet Versus Malleable Stylet in Orotracheal Intubation Using a Fiber-optic Laryngoscope
ClinicalTrials.gov study NCT04857190. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Clinical and Home Use Feasibility Study of a Percutaneous Optical Glucose Fiber Sensor
ClinicalTrials.gov study NCT04152408. IPD Sharing: NO. Countries: 1. Publications: 0.
Awake Nasal Fiber-optic Intubation of Severely Obese Patients in Lateral Position
ClinicalTrials.gov study NCT04779528. IPD Sharing: NO. Countries: 1. Publications: 0.
Treatment of Infected Dialysis Catheters With Fiber Optic Ultraviolet Light
ClinicalTrials.gov study NCT02899780. IPD Sharing: NO. Countries: 1. Publications: 0.
Optical Coherence Tomography of Nerve Fiber Layer and Ganglion Cell Complex After Cataract Extraction
ClinicalTrials.gov study NCT03889652. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Retinal Nerve Fiber Layer Thickness Measurement on Parapapillary Atrophy With the Cirrus High-Definition (HD) Optical Coherence Tomography (OCT)
ClinicalTrials.gov study NCT00742196. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Combined Use of Glidescope With Fiber Optic Broncscopy Versus Fiber Optic Alone in Difficult Intubation
ClinicalTrials.gov study NCT05751590. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Comparing Simulators Used in Fiber-optic Intubation Training Among Anesthesia Residents
ClinicalTrials.gov study NCT04027582. IPD Sharing: YES. Countries: 1. Publications: 0.
Cryogenic Liquid Level-Sensing using Fiber-Optic Strain Sensor (FOSS) Technology Project
<p>Armstrong innovators have developed a highly accurate method for measuring liquid levels using optical fibers. Unlike liquid level gauges that rely on discrete measurements to give broad approximations of liquid levels, Armstrong&rsquo;s novel method provides measurements at &frac14;-inch intervals within a tank. The system uses fiber optic Bragg sensors located along a single fiber optic cable. These sensors actively discern between the liquid and gas states along a continuous fiber to pinpoint the liquid level. This significant leap forward in precision and accuracy in liquid level sensing offers significant benefits to many industries. Designed to monitor a rocket&rsquo;s cryogenic fuel levels, the technology can be used in many medical and industrial applications.</p><p><strong>Work to date</strong>: The technology has been demonstrated in multiple environments using conventional validation techniques. First, water level measurements have been conducted to demonstrate operation within a benign environment. Second, liquid level measurements were conducted in liquid nitrogen using a 6-foot dewer. Measurements also were conducted within a liquid hydrogen environment using a 4-foot dewer. The technology performed well in all three cases, demonstrating the ability to measure liquid to &frac14; inch.&nbsp;</p><p><strong>Looking ahead</strong>: The team continues to push the fields of application with future tests to determine boundary layers between different fluids such as oil and water. Also there are planned opportunities to demonstrate the technology in a NASA-operated cryogenic test bed, simulating a cryogenic fuel management scenario.</p><p><strong><em>Benefits</em></strong></p><ul><li><strong>Precise</strong>: Can gauge liquid levels within a &frac14;-inch</li><li><strong>Simple</strong>: Requires just one fiber optic strand and one metallic wire, as opposed to conventional measurement systems, which require many more wires</li><li><strong>Safe</strong>: Is not susceptible to electromagnetic interference (EMI)</li><li><strong>Robust</strong>: Can be used in corrosive or toxic liquids without damaging the fiber or contaminating the liquid</li></ul><p><strong><em>Applications</em></strong></p><ul><li>Aerospace launch vehicles and satellites</li><li>Chemical and refinery plants</li><li>Industrial tanks</li></ul>
Compact Fiber Optic Strain Sensors (cFOSS) Element
<p>Armstrong researchers are reducing the Fiber Optic Sensing Sysme (FOSS) technology&rsquo;s size, power requirement, weight, and cost to effectively extend opportunities for broader fields of application. Unlike current commercially available systems, which are limited by the number of fibers that are interrogated simultaneously, Armstrong&rsquo;s cFOSS technology maintains its multi-fiber capability (four or eight fibers) while providing a smaller overall form factor. FOSS is the size of a shoebox and weighs 28.5 pounds; cFOSS will be the size of a 6-inch cube and weigh less than 10 pounds. Each component within the system has been custom-designed specifically for miniaturization, thus reducing capital costs. As industries strive for ever smaller profiles, this miniaturization will be an important benefit for multiple markets. For example, small aviation UAVs would benefit significantly from this smaller, more compact, and lightweight package.&nbsp;</p><p><strong>Work to date: </strong>In partnership with the AERO Institute, researchers have flown the cFOSS v1.0 system, a convection-cooled 5-lb version, on a small UAV, interrogating four fibers simultaneously.&nbsp;</p><p><strong>Looking ahead: </strong>By the end of December 2015, cFOSS v2.0, with conduction cooling, will fly on an Antares rocket.&nbsp;</p><p><strong>Benefits</strong></p><ul><li><strong>Cost-efficient:</strong> Each component within the&nbsp;system has been custom designed specifically&nbsp;for miniaturization, thus reducing capital costs</li><li><strong>Compact:</strong> The miniaturized size requires less&nbsp;associated hardware than existing systems</li><li><strong>Reliable:&nbsp;</strong>Components are customized for aggressive environments yet maintain a compact form factor</li></ul><p><strong>Applications</strong></p><ul><li>Aeronautics and launch vehicles</li><li>Medical procedures</li><li>Drilling</li><li>Wind energy</li><li>Automotive testing</li><li>Industrial processes</li></ul>
Single-use Digital Flexible Ureteroscope vs Nondisposable Fiber Optic vs Digital Ureteroscope
ClinicalTrials.gov study NCT03220516. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Comparison of Double Pad Fiber Optic Device Versus Conventional Phototherapy
ClinicalTrials.gov study NCT04585828. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Comparison of Optic Nerve Head and Retinal Nerve Fiber Layer Parameters Derived From Two Different Methods of Scan Alignment
ClinicalTrials.gov study NCT02666144. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Data set from "Combining fiber Brillouin amplification with a repeater laser station for fiber-based optical frequency dissemination over 1400 km"
<p>The data set contains the data underlying the fiber link performance evaluation published in Koke et al 2019 New J. Phys. 21 123017 (https://doi.org/10.1088/1367-2630/ab5d95). The experimental setup and the methodology used is explained in this publication.</p> <p>The data is stored in the Matlab(R)-native file format. Although proprietary, import of data from this file format is supported by other numerical computing environments, too. An example script for importing into Python is included.</p> <p>The files 'data_export_campaign_*.mat' contain the timeseries data shown in Figures 2, 3 and 4. Each of these files include variables with the following meaning:<br> 'date_year', 'date_month', 'date_day', 'time_hour', 'time_minute', 'time_second': Timestamp of the data sample in UTC time<br> 'inloop1' and 'inloop2': $\Lambda_{1s}$ frequency offset from nominal value in Hz of the beat signal used for stabilizing the uplink<br> 'aom': $\Lambda_{1s}$ frequency offset from nominal value in Hz of the uplink servo acoustic-optical modulator's drive frequency<br> 'remote1' and 'remote2': $\Lambda_{1s}$ frequency offset from nominal value in Hz of the roundtrip beat signal used for out-of-loop characterization of the frequency transfer error<br> 'no_of_run_in_NJP_21_123017': A flag indicating the measurement runs discussed in the paper. Samples with the same non-zero integer values belong to the same measurement run. Samples marked with 0 did not enter the publication.<br> 'DataCollected_FBAPTBLocked_CavityLocked': Result of our current monitoring of the fulfillment of the prerequisites for fiber link performance evaluation; values of 1/True indicate that data logging was active, the transfer laser was locked to the signal of the ultra-stable cavity, and the lock of the FBA(PTB) pump laser was active.</p> <p>The file 'data_export_uplink_downlink_aom.mat' contains the data underlying the fiber phase noise correlation analysis in Fig. 5.<br> 'aom_uplink': $\Lambda_{1s}$ frequency offset from nominal value in Hz of the uplink servo acoustic-optical modulator's drive frequency<br> 'aom_downlink': $\Lambda_{1s}$ frequency offset from nominal value in Hz of the downlink servo acoustic-optical modulator's drive frequency</p> <p>Since publication of the paper, we discovered a slight inconsistency of the nominal frequencies used in our analysis. Hence, remote fractional frequency offsets published in Koke et al 2019 New J. Phys. 21 123017 have to be corrected by subtracting fractional frequency values of 4.2E-22 (campaigns 2015-06, 2016-03, 2018-03) and 3.3E-22 (campaign 2018-12). This inconsistency does not change the conclusions drawn in the paper as these corrections are well below the associated statistical uncertainties. The correct nominal frequency values have been employed for the uploaded data set.</p>
Data of "Fully automated pipeline for the fiber tractography of the anterior optic pathway in patients with sellar and parasellar tumors and analysis of the microstructural alterations"
<p>This dataset contains the numerical data used for the analysis described in the paper "<strong><span>Fully automated pipeline for the fiber tractography of the anterior optic pathway in patients with sellar and parasellar tumors and analysis of the microstructural alterations</span></strong>", Gramegna LL et al.</p> <p>chiasma_displacement.xlsx contains the value in mm of the vertical displacement of the chiasm for each subject (see the paper for the methodological procedure of the evaluation).</p> <p>parameters_along_tract.xlsx contains for each subject (Exam): the condition (Cond, 0=healthy control, 1=patient), whether they experienced complete or partial resolution of symptoms after surgical treatment (Responder), the corresponding area along the anterior optic pathway (Zone), the sampling point among the 45 that the anterior optic pathway was divided into (Bin), the microstructural parameter considered (Measure) and its corresponding value (Value).</p>
Supporting Data for "Seismic Monitoring of Rockfalls Using Fiber-Optic Distributed Acoustic Sensing"
<p>This file contains data and MATLAB scripts to generate the figures presented in the manuscript "Seismic Monitoring of Rockfalls Using Fiber-Optic Distributed Acoustic Sensing".</p>
Fiber-optic DAS dataset of diverse tunnel disturbance events
<p><strong># Fiber-optic DAS dataset of diverse tunnel disturbance events (doi: 10.5281/zenodo.7116488)</strong></p> <p>This is a fiber-optic DAS dataset of diverse tunnel disturbance events as well as data to support the manuscript "Listening to underground infrastructure: Machine learning-based distributed acoustic sensing enables automated identification of diverse tunnel threats" by Tai-Yin Zhang, Cheng-Cheng Zhang*, and Bin Shi*.</p> <p><strong>## Dataset</strong><br>This repository contains:<br> <br>* `Raw data.zip` is the raw DAS-recorded signals.</p> <p>* `data_24.csv` is a simplified version of the raw data with 24 features.</p> <p>* `data_15.csv` is a simplified version of the raw data with 15 features.</p> <p>* `Details of raw data.xlsx` is a detailed description of the recorded signals, including tunnel conditions (location, type, soil and geographical conditions), sample size distribution, DAS acquisition parameters, cable type and installation method, and whether auxiliary inspection or monitoring methods were used.</p> <p>* `Details of features.xlsx` is a detailed description of the features before and after feature selection.</p> <p><strong>## Dataset</strong><br>Python scripts linked with this dataset are available at https://github.com/njufogeo/AutoTunnelThreatID</p> <p><strong>## Correspondence</strong><br>Correspondence should be addressed to zhang@nju.edu.cn (C.-C.Z.).</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.