A multiscale Mueller polarimetry module for a stereo zoom microscope
10.1007/s13534-019-00116-w
- Author:
Adam GRIBBLE
1
;
Michael A PINKERT
;
Jared WESTREICH
;
Yuming LIU
;
Adib KEIKHOSRAVI
;
Mohammadali KHORASANI
;
Sharon NOFECH-MOZES
;
Kevin W ELICEIRI
;
Alex VITKIN
Author Information
1. Department of Medical Biophysics, University of Toronto, Toronto, Canada. Alex.Vitkin@rmp.uhn.ca
- Publication Type:Original Article
- Keywords:
Mueller matrix polarimetry;
Multiscale;
Stereo zoom microscope;
Module;
Pathology;
Label-free imaging
- MeSH:
Breast Neoplasms;
Family Characteristics;
Humans;
Pathology;
Weights and Measures
- From:
Biomedical Engineering Letters
2019;9(3):339-349
- CountryRepublic of Korea
- Language:English
-
Abstract:
Mueller polarimetry is a quantitative polarized light imaging modality that is capable of label-free visualization of tissue pathology, does not require extensive sample preparation, and is suitable for wide-field tissue analysis. It holds promise for selected applications in biomedicine, but polarimetry systems are often constrained by limited end-user accessibility and/or long-imaging times. In order to address these needs, we designed a multiscale-polarimetry module that easily couples to a commercially available stereo zoom microscope. This paper describes the module design and provides initial polarimetry imaging results from a murine preclinical breast cancer model and human breast cancer samples. The resultant polarimetry module has variable resolution and field of view, is low-cost, and is simple to switch in or out of a commercial microscope. The module can reduce long imaging times by adopting the main imaging approach used in pathology: scanning at low resolution to identify regions of interest, then at high resolution to inspect the regions in detail. Preliminary results show how the system can aid in region of interest identification for pathology, but also highlight that more work is needed to understand how tissue structures of pathological interest appear in Mueller polarimetry images across varying spatial zoom scales.