Compressive hyperspectral microscopy for cancer detection

Yaniv Oiknine, Marwan Abuleil, Eugene Brozgol, Isaac Y. August, Iris Barshack, Ibrahim Abdulhalim, Yuval Garini, Adrian Stern

Research output: Contribution to journalArticlepeer-review


Significance: Hyperspectral microscopy grants the ability to characterize unique properties of tissues based on their spectral fingerprint. The ability to label and measure multiple molecular probes simultaneously provides pathologists and oncologists with a powerful tool to enhance accurate diagnostic and prognostic decisions. As the pathological workload grows, having an objective tool that provides companion diagnostics is of immense importance. Therefore, fast whole-slide spectral imaging systems are of immense importance for automated cancer prognostics that meet current and future needs. Aim: We aim to develop a fast and accurate hyperspectral microscopy system that can be easily integrated with existing microscopes and provide flexibility for optimizing measurement time versus spectral resolution. Approach: The method employs compressive sensing (CS) and a spectrally encoded illumination device integrated into the illumination path of a standard microscope. The spectral encoding is obtained using a compact liquid crystal cell that is operated in a fast mode. It provides time-efficient measurements of the spectral information, is modular and versatile, and can also be used for other applications that require rapid acquisition of hyperspectral images. Results: We demonstrated the acquisition of breast cancer biopsies hyperspectral data of the whole camera area within ~1 s. This means that a typical 1 × 1 cm2 biopsy can be measured in ~10 min. The hyperspectral images with 250 spectral bands are reconstructed from 47 spectrally encoded images in the spectral range of 450 to 700 nm. Conclusions: CS hyperspectral microscopy was successfully demonstrated on a common labmicroscope formeasuring biopsies stained with themost common stains, such as hematoxylin and eosin. The high spectral resolution demonstrated here in a rather short time indicates the ability to use it further for coping with the highly demanding needs of pathological diagnostics, both for cancer diagnostics and prognostics.

Original languageEnglish
Article number096502
JournalJournal of Biomedical Optics
Issue number9
StatePublished - 1 Sep 2023


  • cancer detection
  • compressive sensing
  • digital pathology
  • hyperspectral imaging
  • liquid crystal modulators
  • microscopy

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Biomedical Engineering
  • Biomaterials


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