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 …
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 …
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 …
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 …
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 …
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 techniques are widely used in a vast number of applications such as remote sensing, material characterization, astronomy and biological tissue inspection. In this last …
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 …
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 …