Replication data for "Performance improvement in a supercontinuum fiber-coupled system for near infrared absorption spectroscopy"doi:10.18710/IZ63JHDataverseNO2022-02-071Fuglerud, Silje Skeide, 2022, "Replication data for "Performance improvement in a supercontinuum fiber-coupled system for near infrared absorption spectroscopy"", https://doi.org/10.18710/IZ63JH, DataverseNO, V1Replication data for "Performance improvement in a supercontinuum fiber-coupled system for near infrared absorption spectroscopy"doi:10.18710/IZ63JHFuglerud, Silje SkeideFuglerud, Silje SkeideHjelme, Dag RoarNoh, Jong WookAksnes, AstridArtifical Pancreas TrondheimNTNU – Norwegian University of Science and TechnologyMatlabPython46055510248872DataverseNONTNU – Norwegian University of Science and TechnologyFuglerud, Silje SkeideFuglerud, Silje Skeide2021-11-02EngineeringPhysicsNIR spectroscopySupercontinuum laserAbsorption spectroscopyThe data taken supports the development and characterization of a near-infrared absorption spectroscopy system. Near infrared spectroscopy (NIR) is a technique that can be used for several applications, for example in analytical chemistry. However, the method requires a high SNR which mostly constrains very accurate analysis to costly lab instruments with very low noise levels. We have applied a supercontinuum laser in a fully fiber-coupled system for acqeous measurements and characterized the SNR with different components. A case study with glucose measurements was conducted with the full system. A paper has been submitted on the analysis and is in review.Near infrared spectroscopy dataThe data was collected using a system built in our labs outlined in the submitted paper. The absorption data is the difference between the sample arm and reference arm. Both the unprocessed and preprocessed data is published here, see descriptions of the preprocessing under the data set in question.<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a>"Performance improvement in a supercontinuum fiber-coupled system for near infrared absorption spectroscopy", Silje Skeide Fuglerud, Jong Wook Noh, Astrid Aksnes and Dag Roar Hjelme. Under review.10.1364/AO.449908"Performance improvement in a supercontinuum fiber-coupled system for near infrared absorption spectroscopy", Silje Skeide Fuglerud, Jong Wook Noh, Astrid Aksnes and Dag Roar Hjelme. Under review.00_Readme.txttext/plain05. Direct_splitter_CMRR_std.txtData underlying Figure 5 and 6. Standard deviation of the pulses received directly from splitter (no transmission cell), balanced and unbalanced. text/plain05. Direct_splitter_pulses_balanced.txtData underlying Figure 5 and 6. Pulses received directly from splitter (no transmission cell). Balanced arms. text/plain05. Direct_splitter_pulses_laser_RIN.txtData underlying Figure 5 and 6. Pulses received directly from splitter. One arm, corresponds to laser RIN. text/plain05. Direct_splitter_shot_noise.txtData underlying Figure 5 and 6. Estimated shot noise from pulse energy (p) and voltage (v) for 1 pulse, and averaged across 200 pulses.text/plain05. Direct_splitter_unbalanced_ref.txtData underlying Figure 5 and 6. Mean pulse value for the unbalanced case (one arm) for reference. text/plain06. Direct_splitter_pulses_balanced_200avg.txtData underlying Figure 6. The first row gives the wavelengths [nm], the second row gives the standard deviation of pulses averaged 200 times [%], and the rest are pulses included in the standard deviation calculation.text/plain07. Transmission_water_pulses_balanced_200avg.txtData underlying Figure 7. Pulses received through water transmission cell. Balanced arms and 200 avg.text/plain07. Transmission_water_pulses_balanced.txtData underlying Figure 7. Pulses received through water transmission cell. Balanced arms.text/plain07. Transmission_water_pulses_laser_RIN.txtData underlying Figure 7. Pulses received through water transmission cell. One arm, corresponds to laser RIN + transmission cell.text/plain07. Transmission_water_std.txtFirst column give wavelengths, the rest of the columns give the standard deviation plotted in Figure 7.text/plain07. Transmission_water_unbalanced_ref.txtData underlying Figure 7. Mean pulse value for the unbalanced case (one arm) for reference.text/plain10. Glucose_pointmeas_prediction.txtThe glucose prediction from a PLSR model with 3 latent variables. The first column gives the reference (true) concentration, the second column gives the calibration prediction, the third column gives a line-fit for the calibration and the fourth column gives the cross validation prediction. text/plain10. Glucose_pointmeas_preprocessed.txtPreprocessed glucose spectra from point measurements. Preprocessing entails taking the median of 6 measurements, subtracting the preceding blank spectrum, and median filtering (3 points), The first column shows the glucose concentration (mixed). The rest of the columns are wavelength channels. text/plain10. Glucose_pointmeas_raw.txtRaw measured glucose spectra from point measurements. The first column shows the glucose concentration (mixed). The rest of the columns are wavelength channels. text/plain