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Related Concept Videos

Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

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Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...
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Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals
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High-Speed Hyperspectral Imaging for Near Infrared Fluorescence and Environmental Monitoring.

Jan Stegemann1,2, Franziska Gröniger2, Krisztian Neutsch1

  • 1Department of Chemistry and Biochemistry, Ruhr University Bochum, 44801, Bochum, Germany.

Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|March 5, 2025
PubMed
Summary

Fast hyperspectral near-infrared (NIR) imaging is achieved using spectral phasor transformation (HyperNIR). This technique enables rapid, label-free molecular fingerprinting and imaging for biomedical and environmental applications.

Keywords:
fluorescencehyperspectral imaginglabel‐freenear infraredspectral phasor

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Area of Science:

  • Optics and Photonics
  • Spectroscopy
  • Biomedical Imaging

Background:

  • Hyperspectral imaging provides rich spectral and spatial data but is typically slow.
  • Near-infrared (NIR) wavelengths (>800 nm) are valuable for tissue imaging and molecular fingerprinting due to tissue transparency and vibrational modes.

Purpose of the Study:

  • To develop a fast hyperspectral imaging technique in the NIR spectral range.
  • To enable label-free molecular fingerprinting and imaging with high spectral resolution.

Main Methods:

  • Demonstration of HyperNIR, a fast hyperspectral NIR imaging method using spectral phasor transformation.
  • Utilized a liquid crystal variable retarder (LCVR) for tunable sine- and cosine-filtering, converting optical signals into a 2D spectral (phasor) space.
  • Acquired spectral information using only three images, achieving hyperspectral frame rates of 0.2 s⁻¹.

Main Results:

  • Distinguished NIR fluorophores with emission peaks <5 nm apart by tuning the LCVR across 900-1600 nm.
  • Successfully performed label-free hyperspectral NIR reflectance imaging to identify plastic polymers.
  • Demonstrated in vivo monitoring of plant health using the developed technique.

Conclusions:

  • HyperNIR offers a significant speed improvement for hyperspectral imaging.
  • The technique is versatile, applicable to both fluorescence and reflectance imaging.
  • Facilitates straightforward hyperspectral imaging for biomedicine and environmental monitoring.