ArticleBiomedical optics express2021
Polarimetric data-based model for tissue recognition.
Article in Biomedical optics express, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Article
- Automatic pseudo-coloring approaches to improve visual perception and contrast in polarimetric images of biological tissues.Scientific reports · 2022Article
- Polarimetric observables for the enhanced visualization of plant diseases.Scientific reports · 2022Article
- Polarization-based probabilistic discriminative model for quantitative characterization of cancer cells.Biomedical optics express · 2022Article
- Polarization and Orbital Angular Momentum of Light in Biomedical Applications: feature issue introduction.Biomedical optics express · 2021Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We highlight the potential of a predictive optical model method for tissue recognition, based on the statistical analysis of different polarimetric indicators that retrieve complete polarimetric information (selective absorption, retardance and depolarization) of samples. The study is conducted on the experimental Mueller matrices of four biological tissues (bone, tendon, muscle and myotendinous junction) measured from a collection of 157 ex-vivo chicken samples. Moreover, we perform several non-parametric data distribution analyses to build a logistic regression-based algorithm capable to recognize, in a single and dynamic measurement, whether a sample corresponds (or not) to one of the four different tissue categories.
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Registered trials
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