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Related Concept Videos

Applications of IR Spectroscopy: Overview01:11

Applications of IR Spectroscopy: Overview

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The non-destructive nature and ability to provide valuable chemical information make IR spectroscopy a versatile technique with broad applications in various scientific and industrial fields. IR spectroscopy is commonly used to identify and characterize organic and inorganic compounds. It provides information about the functional groups present in a molecule and the bonding between atoms. This helps in the structural elucidation of compounds during organic synthesis, pharmaceutical research,...
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Ultraviolet and Visible (UV–Vis) Spectroscopy: Overview01:02

Ultraviolet and Visible (UV–Vis) Spectroscopy: Overview

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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...
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Related Experiment Video

Updated: Oct 22, 2025

Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals
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The Future of Hyperspectral Imaging.

Stefano Selci1

  • 1Institute for Photonics and Nanotechnologies, ARTOV C.N.R., Via del Fosso del Cavaliere 100, 00133 Roma, Italy.

Journal of Imaging
|August 30, 2021
PubMed
Summary

Hyperspectral imaging (HSI) research explores future trends, covering deep learning analysis and data compression techniques. Applications range from agriculture and art to medicine and forensics, showcasing HSI

Keywords:
HSI for biologyRaman hyperspectral imagingfluorescence hyperspectral imaginghyperspectral data mining and compressionhyperspectral imaginghyperspectral microscopyinfrared hyperspectral imagingmedical imaging by HSIremote sensingstatistical methods for HSI

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Area of Science:

  • Optics and Photonics
  • Computer Science
  • Materials Science

Background:

  • This special issue compiles 12 papers on hyperspectral imaging (HSI), focusing on future trends and advancements.
  • Nine research papers present current applications, while three review contributions highlight emerging methodologies and instruments.

Discussion:

  • Review papers delve into deep learning for HSI data analysis and advanced HSI data compression techniques, including liquid crystal spectral multiplexing and DMD-based Raman spectroscopy.
  • Specific research applications showcase HSI's potential in early detection of potato tuber sprouting, assessing painting sample stability, predicting diabetic foot ulcer healing, and age determination of fingerprints.

Key Insights:

  • HSI enables diverse applications such as dynamic scene analysis, plant disease localization, lossless data compression, multiband image fusion, and laser HSI for sorting and quality control.
  • Methodological advancements include novel approaches for HSI data compression and analysis, enhancing the utility of spectral information.

Outlook:

  • Future HSI development will likely integrate deep learning for enhanced analysis and explore novel compression strategies for efficient data handling.
  • The broad applicability of HSI across various scientific and industrial domains indicates continued growth and innovation in the field.