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Two-dimensional depth-resolved Mueller matrix characterization of biological tissue by optical coherence tomography
Abstract
We built a polarization-sensitive optical coherence tomographic system and measured the two-dimensional depth-resolved full 4 x 4 Mueller matrix of biological tissue for what is believed to be the first time. The Mueller matrix measurements, which we made by varying the polarization states of the light source and the detector, yielded a complete characterization of the polarization property of the tissue sample. The initial experimental results indicated that this new approach reveals some tissue structures that are not perceptible in standard optical coherence tomography.
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Cited by
Imaging skin pathology with polarized light
Jacques, S. L., Ramella-Roman, J. C., & Lee, K. (2002) · Journal of Biomedical Optics · doi:10.1117/1.1484498 · Cited by 582
Polarized light interaction with tissues
Tuchin, V. V. (2016) · Journal of Biomedical Optics · doi:10.1117/1.jbo.21.7.071114 · Cited by 384
Metadata
- Authors
- Yao, G., & Wang, L. V.
- Venue
- Optics Letters
- Publisher
- Optica Publishing Group
- Published
- 1999-04-15
- Volume
- 24
- Issue
- 8
- Pages
- 537
- ISSN
- 0146-9592 (ISSN-L)
- 1539-4794
- OpenAlex
- W1995394089
- Cited by
- 232
- References
- 0
- FWCI
- 9.46
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Two-dimensional depth-resolved Mueller matrix characterization of biological tissue by optical coherence tomography. https://app.cochat.ai/papers/10.1364/ol.24.000537
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- Yao, G., & Wang, L. V. (1999). Two-dimensional depth-resolved Mueller matrix characterization of biological tissue by optical coherence tomography. Optics Letters. https://doi.org/10.1364/ol.24.000537
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
