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Development of a new polarized hyperspectral imaging microscope.

Ximing Zhou¹, Ling Ma¹, Martin Halicek¹

¹The University of Texas at Dallas, Department of Bioengineering, Richardson, TX.

Proceedings of Spie--The International Society for Optical Engineering

|June 25, 2020

Summary

A new polarized hyperspectral imaging microscope (PHSIM) was developed for cancer detection. Preliminary results show distinct spectral differences between normal and squamous cell carcinoma (SCC) oral tissues.

Keywords:

Hyperspectral imaging Stokes vector head and neck cancer machine learning polarized light imaging

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Area of Science:

Biomedical Optics
Microscopy
Cancer Diagnostics

Background:

Hyperspectral imaging (HSI) offers rich spectral information for tissue analysis.
Polarization imaging provides insights into tissue microstructure and composition.
Combining HSI and polarization can enhance diagnostic capabilities.

Purpose of the Study:

To design and propose a novel transmission mode polarized hyperspectral imaging microscope (PHSIM).
To evaluate the PHSIM's capability in differentiating normal and cancerous oral tissues.
To assess the potential of PHSIM for early cancer detection.

Main Methods:

Developed a PHSIM integrating snapscan HSI (467-700 nm) with full Stokes polarimetric imaging using polarizers and LCVRs.
Acquired hyperspectral and polarimetric data from H&E stained oral tissue slides of 8 patients.
Compared spectral curves of Stokes vector parameters (S0, S1, S2, S3) between normal and squamous cell carcinoma (SCC) areas.

Main Results:

Preliminary findings demonstrate significant differences in spectral curves of Stokes vector parameters between normal and SCC tissues.
These spectral variations were observed within specific wavelength ranges.
The PHSIM successfully captured distinct polarimetric-spectral signatures for cancerous tissues.

Conclusions:

The developed PHSIM shows promise for differentiating cancerous from normal oral tissues.
Polarized hyperspectral imaging can serve as a valuable tool in histopathology.
Further validation on larger patient cohorts and diverse cancer types is warranted.