Depolarizing metrics in the biomedical field: Vision enhancement and classification of biological tissues

M Canabal-Carbia, A Van Eeckhout… - Journal of Innovative …, 2023 - World Scientific
Polarimetry encompasses a collection of optical techniques broadly used in a variety of
fields. Nowadays, such techniques have provided their suitability in the biomedical field …

Polarization-Based Histopathology Classification of Ex Vivo Colon Samples Supported by Machine Learning

D Ivanov, V Dremin, T Genova, A Bykov… - Frontiers in …, 2022 - frontiersin.org
In biophotonics, novel techniques and approaches are being constantly sought to assist
medical doctors and to increase both sensitivity and specificity of the existing diagnostic …

Automatic pseudo-coloring approaches to improve visual perception and contrast in polarimetric images of biological tissues

C Rodríguez, A Van Eeckhout, E Garcia-Caurel… - Scientific reports, 2022 - nature.com
Imaging polarimetry methods have proved their suitability to enhance the image contrast
between tissues and structures in organic samples, or even to reveal structures hidden in …

Polarization-based probabilistic discriminative model for quantitative characterization of cancer cells

J Wan, Y Dong, JH Xue, L Lin, S Du, J Dong… - Biomedical Optics …, 2022 - opg.optica.org
We propose a polarization-based probabilistic discriminative model for deriving a set of new
sigmoid-transformed polarimetry feature parameters, which not only enables accurate and …

Polarimetric observables for the enhanced visualization of plant diseases

C Rodríguez, E Garcia-Caurel, T Garnatje… - Scientific reports, 2022 - nature.com
This paper highlights the potential of using polarimetric methods for the inspection of plant
diseased tissues. We show how depolarizing observables are a suitable tool for the …

Polarimetric imaging combining optical parameters for classification of mice non-melanoma skin cancer tissue using machine learning

TN Luu, TV Nguyen, NT Huynh, QH Phan, TH Le - Heliyon, 2023 - cell.com
Polarimetric imaging systems combining machine learning is emerging as a promising tool
for the support of diagnosis and intervention decision-making processes in cancer …

[HTML][HTML] Connecting the microscopic depolarizing origin of samples with macroscopic measures of the Indices of Polarimetric Purity

M Canabal-Carbia, I Estévez, E Nabadda… - Optics and Lasers in …, 2024 - Elsevier
In this work we show how a specific set of three depolarizing observables, the Indices of
Polarimetric Purity (IPP), P 1, P 2 and P 3, are ideal metrics to study the depolarization …

Polarimetric images of biological tissues based on the arrow decomposition of mueller matrices

JJ Gil, I San José, M Canabal-Carbia, I Estévez… - Photonics, 2023 - mdpi.com
Polarimetric techniques are widely used in a vast number of applications such as remote
sensing, material characterization, astronomy and biological tissue inspection. In this last …

Polarization and orbital angular momentum of light in biomedical applications: feature issue introduction

I Meglinski, T Novikova, K Dholakia - Biomedical optics express, 2021 - opg.optica.org
In the last decade, consistent and successful innovations have been achieved in the field of
lasers and optics, collectively known as 'photonics', founding new applications in …

Optimizing the classification of biological tissues using machine learning models based on polarized data

C Rodríguez, I Estévez, E González‐Arnay… - Journal of …, 2023 - Wiley Online Library
Polarimetric data is nowadays used to build recognition models for the characterization of
organic tissues or the early detection of some diseases. Different Mueller matrix‐derived …