ArticleBiomedical optics express2021
Auto-detection of cervical collagen and elastin in Mueller matrix polarimetry microscopic images using K-NN and semantic segmentation classification.
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 18 papers.
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Who cites it
18 citing papers in PubMed, 39 citations in OpenAlex.
- Seedling fibroid characterization using optical coherence tomography.Biomedical optics express · 2026Article
- Cost-effective Mueller matrix microscopy for label-free differentiation of melanoma from normal skin and common skin cancer types.Biomedical optics express · 2025Article
- FIRM image analysis: A machine learning workflow for quantifying extracellular matrix components from electron microscopy images.PloS one · 2025Article
- Mueller matrix analysis of a biologically sourced engineered tissue construct as polarimetric phantom.Journal of biomedical optics · 2024Article
- Quantitative Assessment of Collagen Remodeling during a Murine Pregnancy.ACS photonics · 2024Article
- Polarimetric Imaging for Robot Perception: A Review.Sensors (Basel, Switzerland) · 2024Review
- Machine learning based local recurrence prediction in colorectal cancer using polarized light imaging.Journal of biomedical optics · 2024Article
- Study on anisotropy orientation due to well-ordered fibrous biological microstructures.Journal of biomedical optics · 2024Article
- Impact of corpus callosum fiber tract crossing on polarimetric images of human brain histological sections:Journal of biomedical optics · 2023Article
- Optical imaging for early detection of cervical cancer: state of the art and perspectives.Journal of biomedical optics · 2023Review
- Polarimetric biomarkers of peri-tumoral stroma can correlate with 5-year survival in patients with left-sided colorectal cancer.Scientific reports · 2022Article
- Polarization-based probabilistic discriminative model for quantitative characterization of cancer cells.Biomedical optics express · 2022Article
- Toward the development of a polarimetric tool to diagnose the fibrotic human ventricular myocardium.Journal of biomedical optics · 2022Article
- Assessment of tissue pathology using optical polarimetry.Lasers in medical science · 2022Article
- Polarization and Orbital Angular Momentum of Light in Biomedical Applications: feature issue introduction.Biomedical optics express · 2021Article
- Quantifying optical anisotropy in soft tissue membranes using Mueller matrix imaging.Journal of biomedical optics · 2021Article
- Mueller matrix imaging for collagen scoring in mice model of pregnancy.Scientific reports · 2021Article
- Probing layered structures by multi-color backscattering polarimetry and machine learning.Biomedical optics express · 2021Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We propose an approach for discriminating fibrillar collagen fibers from elastic fibers in the mouse cervix in Mueller matrix microscopy using convolutional neural networks (CNN) and K-nearest neighbor (K-NN) for classification. Second harmonic generation (SHG), two-photon excitation fluorescence (TPEF), and Mueller matrix polarimetry images of the mice cervix were collected with a self-validating Mueller matrix micro-mesoscope (SAMMM) system. The components and decompositions of each Mueller matrix were arranged as individual channels of information, forming one 3-D voxel per cervical slice. The classification algorithms analyzed each voxel and determined the amount of collagen and elastin, pixel by pixel, on each slice. SHG and TPEF were used as ground truths. To assess the accuracy of the results, mean-square error (MSE), peak signal-to-noise ratio (PSNR), and structural similarity (SSIM) were used. Although the training and testing is limited to 11 and 5 cervical slices, respectively, MSE accuracy was above 85%, SNR was greater than 40 dB, and SSIM was larger than 90%.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.