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Biomolecular Imaging of Cellular Uptake of Nanoparticles using Multimodal Nonlinear Optical Microscopy

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Published on: May 16, 2022

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

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 detection compressive sensing digital pathology hyperspectral imaging liquid crystal modulators microscopy

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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.