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Compressive hyperspectral microscopy for cancer detection.

Yaniv Oiknine1, Marwan Abuleil1, Eugene Brozgol2

  • 1Ben-Gurion University of the Negev, School of Electrical and Computer Engineering, Electro-Optics and Photonics Engineering Department, Beer-Sheva, Israel.

Journal of Biomedical Optics
|September 11, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a fast hyperspectral microscopy system using compressive sensing for rapid, objective cancer diagnostics. The technology enhances pathological analysis by providing detailed spectral fingerprints of tissues, aiding in accurate prognostics.

Keywords:
cancer detectioncompressive sensingdigital pathologyhyperspectral imagingliquid crystal modulatorsmicroscopy

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Area of Science:

  • Biomedical Optics
  • Pathology
  • Medical Imaging

Background:

  • Hyperspectral microscopy offers detailed tissue characterization via spectral fingerprints.
  • Simultaneous molecular probe analysis aids pathologists in diagnosis and prognosis.
  • Growing pathology workloads necessitate objective tools for companion diagnostics and automated cancer prognostics.

Purpose of the Study:

  • To develop a fast, accurate hyperspectral microscopy system integrable with existing microscopes.
  • To offer flexibility in optimizing measurement time versus spectral resolution.
  • To provide an objective tool for enhanced cancer diagnostics and prognostics.

Main Methods:

  • Utilized compressive sensing (CS) integrated with a spectrally encoded illumination device.
  • Employed a compact, fast-operating liquid crystal cell for spectral encoding.
  • Demonstrated modularity and versatility for rapid hyperspectral image acquisition.

Main Results:

  • Acquired whole-slide hyperspectral data from breast cancer biopsies in under 3 minutes.
  • Reconstructed hyperspectral images with 250 spectral bands (450-700 nm) from 47 encoded images.
  • Successfully demonstrated CS hyperspectral microscopy on common hematoxylin and eosin stained biopsies.

Conclusions:

  • CS hyperspectral microscopy is effective on standard lab microscopes for stained biopsies.
  • High spectral resolution achieved rapidly supports demanding pathological diagnostics.
  • The system shows potential for improving both cancer diagnostics and prognostics.