Replication data for "Performance improvement in a supercontinuum fiber-coupled system for near infrared absorption spectroscopy" (doi:10.18710/IZ63JH)

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Part 2: Study Description
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Document Description

Citation

Title:

Replication data for "Performance improvement in a supercontinuum fiber-coupled system for near infrared absorption spectroscopy"

Identification Number:

doi:10.18710/IZ63JH

Distributor:

DataverseNO

Date of Distribution:

2022-02-07

Version:

1

Bibliographic Citation:

Fuglerud, 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, V1

Study Description

Citation

Title:

Replication data for "Performance improvement in a supercontinuum fiber-coupled system for near infrared absorption spectroscopy"

Identification Number:

doi:10.18710/IZ63JH

Authoring Entity:

Fuglerud, Silje Skeide (NTNU – Norwegian University of Science and Technology)

Other identifications and acknowledgements:

Fuglerud, Silje Skeide

Other identifications and acknowledgements:

Hjelme, Dag Roar

Other identifications and acknowledgements:

Noh, Jong Wook

Other identifications and acknowledgements:

Aksnes, Astrid

Other identifications and acknowledgements:

Artifical Pancreas Trondheim

Producer:

NTNU – Norwegian University of Science and Technology

Software used in Production:

Matlab

Software used in Production:

Python

Grant Number:

46055510

Grant Number:

248872

Distributor:

DataverseNO

Distributor:

NTNU – Norwegian University of Science and Technology

Access Authority:

Fuglerud, Silje Skeide

Depositor:

Fuglerud, Silje Skeide

Date of Deposit:

2021-11-02

Holdings Information:

https://doi.org/10.18710/IZ63JH

Study Scope

Keywords:

Engineering, Physics, NIR spectroscopy, Supercontinuum laser, Absorption spectroscopy

Abstract:

The 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.

Kind of Data:

Near infrared spectroscopy data

Methodology and Processing

Sources Statement

Origins of Sources:

The 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.

Data Access

Other Study Description Materials

Related Publications

Citation

Title:

"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.

Identification Number:

10.1364/AO.449908

Bibliographic Citation:

"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.

Other Study-Related Materials

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00_Readme.txt

Notes:

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Other Study-Related Materials

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05. Direct_splitter_CMRR_std.txt

Text:

Data underlying Figure 5 and 6. Standard deviation of the pulses received directly from splitter (no transmission cell), balanced and unbalanced.

Notes:

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05. Direct_splitter_pulses_balanced.txt

Text:

Data underlying Figure 5 and 6. Pulses received directly from splitter (no transmission cell). Balanced arms.

Notes:

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05. Direct_splitter_pulses_laser_RIN.txt

Text:

Data underlying Figure 5 and 6. Pulses received directly from splitter. One arm, corresponds to laser RIN.

Notes:

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05. Direct_splitter_shot_noise.txt

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Data underlying Figure 5 and 6. Estimated shot noise from pulse energy (p) and voltage (v) for 1 pulse, and averaged across 200 pulses.

Notes:

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05. Direct_splitter_unbalanced_ref.txt

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Data underlying Figure 5 and 6. Mean pulse value for the unbalanced case (one arm) for reference.

Notes:

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06. Direct_splitter_pulses_balanced_200avg.txt

Text:

Data 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.

Notes:

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07. Transmission_water_pulses_balanced.txt

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Data underlying Figure 7. Pulses received through water transmission cell. Balanced arms.

Notes:

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07. Transmission_water_pulses_balanced_200avg.txt

Text:

Data underlying Figure 7. Pulses received through water transmission cell. Balanced arms and 200 avg.

Notes:

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07. Transmission_water_pulses_laser_RIN.txt

Text:

Data underlying Figure 7. Pulses received through water transmission cell. One arm, corresponds to laser RIN + transmission cell.

Notes:

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07. Transmission_water_std.txt

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First column give wavelengths, the rest of the columns give the standard deviation plotted in Figure 7.

Notes:

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07. Transmission_water_unbalanced_ref.txt

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Data underlying Figure 7. Mean pulse value for the unbalanced case (one arm) for reference.

Notes:

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10. Glucose_pointmeas_prediction.txt

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The 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.

Notes:

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10. Glucose_pointmeas_preprocessed.txt

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Preprocessed 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.

Notes:

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Other Study-Related Materials

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10. Glucose_pointmeas_raw.txt

Text:

Raw measured glucose spectra from point measurements. The first column shows the glucose concentration (mixed). The rest of the columns are wavelength channels.

Notes:

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