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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.
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IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
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Total internal reflection fluorescence microscopy or TIRF is an advanced microscopic technique used to visualize fluorophores in samples close to a solid surface with a higher refractive index, such as a glass coverslip. TIRF only allows fluorophores in proximity to the solid surface to be excited. When light from a medium with a lower refractive index (such as air) hits the glass coverslip at a critical angle, the light undergoes total internal reflection stead of passing through the glass.
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Image Decomposition Technique Based on Near-Infrared Transmission.

Toto Aminoto1, Purnomo Sidi Priambodo1, Harry Sudibyo1

  • 1Department of Electrical Engineering, Faculty of Engineering, Universitas Indonesia, Depok 16424, Indonesia.

Journal of Imaging
|December 22, 2022
PubMed
Summary
This summary is machine-generated.

Near-infrared imaging can help diagnose diseases by analyzing tissue properties. Researchers successfully identified margarine in a mixed phantom using a 980 nm wavelength, demonstrating selective material decomposition.

Keywords:
attenuation coefficientdecompositionimagingnear-infraredoptics

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Area of Science:

  • Biomedical Optics
  • Medical Imaging
  • Spectroscopy

Background:

  • Disease diagnosis often involves examining affected tissue images.
  • Near-infrared (NIR) properties offer nonionizing, noninvasive, and nonradiative imaging capabilities.
  • NIR light exhibits selectivity, causing different attenuation coefficients based on material and wavelength.

Purpose of the Study:

  • To investigate the use of near-infrared properties for material decomposition and thickness measurement.
  • To reconstruct images based on measured attenuation coefficients.
  • To identify specific materials within a complex phantom using NIR spectroscopy.

Main Methods:

  • Utilized near-infrared spectroscopy to measure input and output light intensities.
  • Calculated attenuation coefficients based on light intensity measurements.
  • Employed a phantom model composed of silicon rubber, margarine, and gelatin.
  • Applied wavelength-dependent analysis to differentiate materials.

Main Results:

  • Successfully measured material thickness using NIR attenuation coefficients.
  • Reconstructed images were generated from the thickness data.
  • Margarine material was selectively decomposed and identified from the phantom at a 980 nm wavelength.

Conclusions:

  • Near-infrared spectroscopy enables accurate material thickness measurement and image reconstruction.
  • The selectivity of NIR light at specific wavelengths is crucial for material differentiation.
  • This technique shows promise for identifying specific components within biological tissues or complex mixtures.