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Related Experiment Videos

Single pixel hyperspectral bioluminescence tomography based on compressive sensing.

Alexander Bentley1,2, Jonathan E Rowe1, Hamid Dehghani1,2

  • 1School of Computer Science, College of Engineering and Physical Sciences, University of Birmingham, UK.

Biomedical Optics Express
|December 5, 2019
PubMed
Summary
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This study introduces a compressive sensing (CS) hyperspectral bioluminescence imaging system. It significantly reduces data acquisition time for pre-clinical imaging, enabling better localization of internal light sources.

Area of Science:

  • Biomedical Optics
  • Optical Imaging
  • Pre-clinical Research

Background:

  • Photonics-based imaging, particularly bioluminescence imaging, is crucial for studying biological functions non-invasively in pre-clinical studies.
  • Compressive sensing (CS) is a signal processing technique that allows for data compression without significant information loss.

Purpose of the Study:

  • To develop a compressive sensing (CS) based hyperspectral bioluminescence imaging system.
  • To improve acquisition times, spectral content, and tomographic source localization for in-vivo imaging.

Main Methods:

  • Development of a CS-based hyperspectral bioluminescence imaging system.
  • Acquisition of compressed surface fluence data from animal models with internal light sources.
  • Utilizing hyperspectral data for tomographic reconstruction of internal light sources.

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Main Results:

  • Hyperspectral surface fluence images were acquired in 30% less time and measurements compared to conventional raster scanning.
  • Tomographic reconstruction of internal light sources using CS demonstrated a localization error of approximately 3 mm.
  • Successful reconstruction of dual-colored sources highlighted the system's capability for multi-wavelength biomarker applications.

Conclusions:

  • The CS hyperspectral bioluminescence imaging system offers reduced acquisition times and enhanced spectral information.
  • The system enables accurate tomographic localization of internal light sources, beneficial for pre-clinical research.
  • This technology supports multi-colored biomarker applications through advanced hyperspectral imaging.