Imaging cervical cytology with scanning near-field optical microscopy (SNOM) coupled with an IR-FEL-Reference-Cited by-同舟云学术

Imaging cervical cytology with scanning near-field optical microscopy (SNOM) coupled with an IR-FEL

Published:2016-07-12 Issue:1 Volume:6 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Halliwell Diane E.,Morais Camilo L. M.,Lima Kássio M. G.,Trevisan Julio,Siggel-King Michele R. F.,Craig Tim,Ingham James,Martin David S.,Heys Kelly A.,Kyrgiou Maria,Mitra Anita,Paraskevaidis Evangelos,Theophilou Georgios,Martin-Hirsch Pierre L.,Cricenti Antonio,Luce Marco,Weightman Peter,Martin Francis L.

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://www.nature.com/articles/srep29494.pdf

Reference23 articles.

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2. Gajjar, K. et al. Histology verification demonstrates that biospectroscopy analysis of cervical cytology identifies underlying disease more accurately than conventional screening: removing the confounder of discordance. PLoS One 9, e82416 (2014).

3. Purandare, N. C. et al. Infrared spectroscopy with multivariate analysis segregates low-grade cervical cytology based on the likelihood to regress, remain static or progress. Anal. Methods 6, 4576–4584 (2014).

4. Purandare, N. C. et al. Biospectroscopy insights into the multi-stage process of cervical cancer development: probing for spectral biomarkers in cytology to distinguish grades. Analyst 138, 3909–3916 (2013).

5. Lima, K. M. G. et al. Classification of cervical cytology for human papilloma virus (HPV) infection using biospectroscopy and variable selection techniques. Anal. Methods 6, 9643–9652 (2014).

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