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9 September 2023 Compressive hyperspectral microscopy for cancer detection
Yaniv Oiknine, Marwan Abuleil, Eugene Brozgol, Isaac Y. August, Iris Barshack, Ibrahim Abdulhalim, Yuval Garini, Adrian Stern
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Journal of Biomedical Optics, Vol. 28, Issue 9, 096502 (September 2023). https://doi.org/10.1117/1.JBO.28.9.096502
Abstract

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 lab microscope for measuring biopsies stained with the most 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.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
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Yaniv Oiknine, Marwan Abuleil, Eugene Brozgol, Isaac Y. August, Iris Barshack, Ibrahim Abdulhalim, Yuval Garini, and Adrian Stern "Compressive hyperspectral microscopy for cancer detection," Journal of Biomedical Optics 28(9), 096502 (9 September 2023). https://doi.org/10.1117/1.JBO.28.9.096502
Received: 7 February 2023; Accepted: 6 July 2023; Published: 9 September 2023
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KEYWORDS
Microscopes
Microscopy
Light sources and illumination
Cancer detection
Imaging spectroscopy
Biopsy
Imaging systems
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