The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Polarimetric imaging of uterine cervix: a case study
Open accessAbstract
We present a preliminary investigation of macroscopic polarimetric imaging of uterine cervix. Orthogonal state contrast (OSC) images of healthy and anomalous cervices have been taken in vivo at 550 nm. Four ex vivo cervix samples have been studied in full Muller polarimetry, at 550 nm and 700 nm, and characterized in detail by standard pathology. One sample was totally healthy, another one carried CIN lesions at very early stage (CIN1) in its visible exocervical region, while for the other two samples more advanced (CIN3) lesions were present, together with visible glandular epithelium (ectropion). Significant birefringence has been observed in the healthy regions of all six samples, both in vivo and ex vivo. Standard treatments of the Mueller images of the ex vivo samples allowed to quantify both retardation and depolarization. Retardation reached 60° in healthy regions, and disappeared in the anomalous regions of the other three ex vivo samples. The depolarization power was largest in healthy regions, and lower in CINs and ectropion. Possible origins of the observed effects are briefly discussed.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008
Ferlay, J., Shin, H., Bray, F., Forman, D., Mathers, C., & Parkin, D. M. (2010) · International Journal of Cancer · doi:10.1002/ijc.25516 · Cited by 21,293
Interpretation of Mueller matrices based on polar decomposition
Lu, S.-Y., & Chipman, R. A. (1996) · Journal of the Optical Society of America A · doi:10.1364/josaa.13.001106 · Cited by 1,409
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
Surgery for cervical intraepithelial neoplasia
Martin-Hirsch, P. P., Paraskevaidis, E., Bryant, A., & Dickinson, H. O. (2013) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd001318.pub3 · Cited by 415
Ex-vivo characterization of human colon cancer by Mueller polarimetric imaging
Pierangelo, A., Benali, A., Antonelli, M.-R., Novikova, T., Validire, P., Gayet, B., & De Martino, A. (2011) · Optics Express · doi:10.1364/oe.19.001582 · Cited by 294
Self-citationPierangelo, A., Manhas, S., Benali, A., Fallet, C., Totobenazara, J.-L., Antonelli, M.-R., Novikova, T., Gayet, B., De Martino, A., & Validire, P. (2013) · Journal of Biomedical Optics · doi:10.1117/1.jbo.18.4.046014 · Cited by 195
Self-citationMueller polarimetric imaging system with liquid crystals
Laude-Boulesteix, B., De Martino, A., Drévillon, B., & Schwartz, L. (2004) · Applied Optics · doi:10.1364/ao.43.002824 · Cited by 177
Optical imaging for cervical cancer detection: solutions for a continuing global problem
Thekkek, N., & Richards-Kortum, R. (2008) · Nature Reviews Cancer · doi:10.1038/nrc2462 · Cited by 176
Human papillomavirus infection and the primary and secondary prevention of cervical cancer
Lowy, D. R., Solomon, D., Hildesheim, A., Schiller, J. T., & Schiffman, M. (2008) · Cancer · doi:10.1002/cncr.23704 · Cited by 160
Arifler, D., Pavlova, I., Gillenwater, A. M., & Richards-Kortum, R. R. (2007) · Biophysical Journal · doi:10.1529/biophysj.106.089839 · Cited by 136
Cited by
Mueller polarimetric imaging for surgical and diagnostic applications: a review
Qi, J., & Elson, D. S. (2017) · Journal of Biophotonics · doi:10.1002/jbio.201600152 · Cited by 268
Metadata
- Authors
- Pierangelo, A., Nazac, A., Benali, A., Validire, P., Cohen, H., Novikova, T., Ibrahim, B. H., Manhas, S., Fallet, C., Antonelli, M.-R., & Martino, A.-D.
- Venue
- Optics Express
- Publisher
- Optica Publishing Group
- Published
- 2013-06-05
- Volume
- 21
- Issue
- 12
- Pages
- 14120
- ISSN
- 1094-4087 (ISSN-L)
- OpenAlex
- W2043640692
- Cited by
- 255
- References
- 19
- FWCI
- 10.45
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Polarimetric imaging of uterine cervix: a case study. https://app.cochat.ai/papers/10.1364/oe.21.014120
- The paper
- Pierangelo, A., Nazac, A., Benali, A., Validire, P., Cohen, H., Novikova, T., Ibrahim, B. H., Manhas, S., Fallet, C., Antonelli, M.-R., & Martino, A.-D. (2013). Polarimetric imaging of uterine cervix: a case study. Optics Express. https://doi.org/10.1364/oe.21.014120
Data sources
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.