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Instrument Calibration01:12

Instrument Calibration

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Instrument calibration is essential for ensuring that instruments produce accurate and consistent results. It is vital in manufacturing, healthcare, testing laboratories, and scientific research. Calibration processes are specific to each instrument and help enhance data accuracy. Each instrument has a unique calibration process tailored to its design and function to improve data accuracy.
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UV–Vis Spectrometers01:14

UV–Vis Spectrometers

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The absorbance of UV and visible (UV–visible) radiations is measured using a UV–visible spectrophotometer. Deuterium lamps, which emit UV radiation, and tungsten lamps, which produce radiation in the visible region, are used as light sources in UV–visible spectrophotometers. A monochromator or prism is used for diffraction grating, i.e., to split the incoming radiation into different wavelengths. A system of slits is used to focus the desired wavelength on the sample cell.
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Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

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In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
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NMR Spectrometers: Resolution and Error Correction01:14

NMR Spectrometers: Resolution and Error Correction

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When magnetic nuclei in a sample achieve resonance and undergo relaxation, the signal detected in NMR is an approximately exponential free induction decay. Fourier transform of an exponential decay yields a Lorentzian peak in the frequency domain. Lorentzian peaks in an NMR spectrum are defined by their amplitude, full width at half maximum, and position, where the peak width is governed by the spin-spin relaxation time alone. In real experiments, however, the applied magnetic field is rendered...
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Common Leveling Mistakes and Errors01:17

Common Leveling Mistakes and Errors

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A survey team is tasked with determining the elevation difference between points Point A and Point B, separated by uneven terrain. They use a leveling instrument and a leveling rod.Common MistakesMisreading the Rod: During a backsight reading at Point A, the instrumentman observes the rod partially obscured by tall grass. Instead of reading 1.135 m, they mistakenly record 1.735 m due to the misalignment of the crosshair with the wrong graduation. This error adds 0.600 m to all subsequent...
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Atomic Absorption Spectroscopy: Interference01:25

Atomic Absorption Spectroscopy: Interference

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Interference leads to systematic error in atomic absorption (AA) measurements by enhancing or diminishing the analytical signal or the background. These interferences can be grouped into three main categories: spectral interference, chemical interference, and physical interference.
Spectral interference occurs when signals from other elements or molecules overlap with the analyte signal, falsely elevating or masking the analyte's absorbance. This interference can be corrected using Zeeman,...
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Related Experiment Video

Updated: Feb 16, 2026

Author Spotlight: Exploring Light-Driven Chemical Reactions and Energy-Harnessing Devices in Photochemical Research
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Using the Kalman Algorithm to Correct Data Errors of a 24-Bit Visible Spectrometer.

Son Pham1, Anh Dinh2

  • 1Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada. son.pham@usask.ca.

Sensors (Basel, Switzerland)
|December 21, 2017
PubMed
Summary

A new Kalman filter technique corrects spectral data errors from unstable light sources in VIS SPEC instruments. This innovation significantly enhances accuracy and reduces errors, improving spectral data quality.

Keywords:
Kalmancorrectorfilternoise reductionspectrometerspectrum

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Area of Science:

  • Spectroscopy
  • Instrumentation
  • Signal Processing

Background:

  • Visible Spectrophotometer (VIS SPEC) instruments suffer from errors due to unstable light sources.
  • Light intensity fluctuations impact spectral data accuracy, resolution, and cost-effectiveness.

Purpose of the Study:

  • To develop a cost-effective technique to reduce errors in VIS SPEC data caused by light intensity variations.
  • To enhance the accuracy and resolution of spectral data through real-time error correction.

Main Methods:

  • Implementation of the Kalman algorithm combined with a photodiode sensor for real-time light intensity monitoring.
  • Determination of Kalman filter parameters using MATLAB simulations on mono-changing and multi-changing datasets.
  • Application of algorithms like divide-and-conquer and greedy techniques for parameter optimization.

Main Results:

  • The proposed Kalman corrector reduces total spectral errors by approximately 10 times.
  • Specific spectral data errors were reduced by up to 60 times.
  • Demonstrated significant improvement in VIS SPEC accuracy under varying light source conditions.

Conclusions:

  • The Kalman corrector effectively mitigates spectral data errors caused by light intensity instability.
  • The technique offers a robust solution for enhancing spectrophotometer performance.
  • The proposed Kalman-based error correction method is adaptable to other applications with similar error sources.