Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview01:13

Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview

500
Attenuated total reflectance (ATR) infrared spectroscopy is a powerful analytical technique used to study the composition of materials. It is widely employed in chemistry, materials science, forensic science, and other fields where sample characterization is required. ATR has several advantages over traditional transmission IR spectroscopy, including the requirement of little to no sample preparation and the ability to analyze a wide range of samples.
The ATR process begins by directing a beam...
500
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

310
Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
310
Infrared (IR) Spectroscopy: Overview01:09

Infrared (IR) Spectroscopy: Overview

2.1K
When electromagnetic radiation passes through a material, atoms or molecules transition from a lower to a higher energy state by absorbing radiation corresponding to the energy difference between the two states. The absorption of infrared (IR) radiation causes transitions between vibrational energy levels in a molecule. Therefore, IR spectroscopy is a useful analytical tool for determining the molecular structure of molecules.
Different compounds display unique properties due to their...
2.1K
Ultraviolet and Visible (UV–Vis) Spectroscopy: Overview01:02

Ultraviolet and Visible (UV–Vis) Spectroscopy: Overview

2.9K
Ultraviolet–visible (UV–visible or UV–Vis) spectroscopy is an analytical technique that investigates the interaction between matter and UV–Vis light within the electromagnetic spectrum. This method is widely used for its versatility, simplicity, and relatively quick data acquisition, making it valuable for both qualitative and quantitative analysis. When UV–Vis radiation passes through a material,  molecules absorb light depending on the energy required for...
2.9K
IR Spectrometers01:25

IR Spectrometers

1.4K
There are two main infrared (IR) spectrophotometers: dispersive IR spectrometers and Fourier transform infrared (FTIR) spectrometers. In a dispersive IR spectrometer, a beam of infrared radiation produced by a hot wire is divided into two parallel equal-intensity beams using mirrors. One beam passes through the sample, while another is a reference beam. The beams then move through the monochromator, which separates the radiations into a continuous spectrum of different frequencies. The...
1.4K
Spectrophotometry: Introduction01:16

Spectrophotometry: Introduction

3.4K
Spectrophotometry is the quantitative measurement of the absorption, reflection, diffraction, or transmission of electromagnetic radiation through a material as a function of the intensity and wavelength of the radiation. A spectrophotometer is a device used to measure the change in the radiation intensity caused by its interaction with the material.
The essential components of a spectrophotometer include a source of electromagnetic radiation, a slot for placing a material to be analyzed, and a...
3.4K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The Autonomic Imbalance of Myocardial Ischemia during Exercise Stress Testing: Insight from Short-Term Heart Rate Variability Analysis.

International journal of environmental research and public health·2022
Same author

Irradiance Independent Spectrum Reconstruction from Camera Signals Using the Interpolation Method.

Sensors (Basel, Switzerland)·2022
Same author

Auxiliary Reference Samples for Extrapolating Spectral Reflectance from Camera RGB Signals.

Sensors (Basel, Switzerland)·2022
Same author

The autonomic balance of heart rhythm complexity after renal artery denervation: insight from entropy of entropy and average entropy analysis.

Biomedical engineering online·2022
Same author

Gait Stability Measurement by Using Average Entropy.

Entropy (Basel, Switzerland)·2021
Same author

d-mannose-sensitive pilus of Acinetobacter baumannii is linked to biofilm formation and adherence onto respiratory tract epithelial cells.

Journal of microbiology, immunology, and infection = Wei mian yu gan ran za zhi·2021

Related Experiment Video

Updated: Aug 30, 2025

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
07:05

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

2.5K

Spectral Reflectance Recovery from the Quadcolor Camera Signals Using the Interpolation and Weighted Principal

Yu-Che Wen1, Senfar Wen2, Long Hsu1

  • 1Department of Electrophysics, National Yang Ming Chiao Tung University, No. 1001 University Road, Hsinchu 30010, Taiwan.

Sensors (Basel, Switzerland)
|August 26, 2022
PubMed
Summary
This summary is machine-generated.

A quadcolor camera with a tailored fourth channel significantly reduces spectral error in surface reflectance recovery compared to a tricolor camera. The interpolation method is more effective than weighted principal component analysis (wPCA) for spectrum reconstruction.

Keywords:
linear interpolationmultispectral imagingquadcolor cameraspectral reflectance recoveryspectrum reconstructionweighted principal component analysis

More Related Videos

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis
07:11

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis

Published on: August 19, 2021

2.6K
Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals
07:34

Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals

Published on: August 22, 2019

8.1K

Related Experiment Videos

Last Updated: Aug 30, 2025

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
07:05

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

2.5K
ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis
07:11

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis

Published on: August 19, 2021

2.6K
Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals
07:34

Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals

Published on: August 22, 2019

8.1K

Area of Science:

  • Optics and Photonics
  • Color Science
  • Computational Imaging

Background:

  • Accurate surface spectral reflectance recovery is crucial for various applications.
  • Traditional tricolor cameras have limitations in spectral resolution.
  • Quadcolor cameras offer potential for improved spectral information capture.

Purpose of the Study:

  • To numerically investigate the performance of a quadcolor camera for surface spectral reflectance recovery.
  • To compare the effectiveness of interpolation and weighted principal component analysis (wPCA) methods.
  • To evaluate the impact of different optical filters on spectral error and color difference.

Main Methods:

  • Numerical simulation of a quadcolor camera with a tailored fourth spectral channel.
  • Utilizing Munsell color chips as reflective surfaces.
  • Employing interpolation and wPCA methods for spectral reconstruction.
  • Analyzing mean spectral error and color difference metrics.

Main Results:

  • The quadcolor camera reduced mean spectral error compared to a tricolor camera for both interpolation and wPCA methods.
  • The interpolation method outperformed wPCA in spectrum reconstruction accuracy, excluding computation time.
  • A long-pass filter minimized mean spectral error, while a short-pass filter minimized color difference.

Conclusions:

  • Quadcolor cameras enhance spectral reflectance recovery accuracy.
  • The interpolation method is superior to wPCA for this application.
  • Optimized quadcolor cameras show potential as imaging colorimeters, particularly with short-pass filters.