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

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

doi:10.1038/srep29494

journal article Open Access Jul 12, 2016

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

Diane E. Halliwell Camilo L. M. Morais Kássio M. G. Lima Julio Trevisan Michele R. F. Siggel-King Tim Craig James Ingham David S. Martin Kelly A. Heys Maria Kyrgiou

Anita Mitra Evangelos Paraskevaidis Georgios Theophilou Pierre L. Martin-Hirsch Antonio Cricenti Marco Luce Peter Weightman Francis L. Martin

Scientific Reports Vol. 6 No. 1 · Springer Science and Business Media LLC

View at Publisher Save 10.1038/srep29494

Abstract

AbstractCervical cancer remains a major cause of morbidity and mortality among women, especially in the developing world. Increased synthesis of proteins, lipids and nucleic acids is a pre-condition for the rapid proliferation of cancer cells. We show that scanning near-field optical microscopy, in combination with an infrared free electron laser (SNOM-IR-FEL), is able to distinguish between normal and squamous low-grade and high-grade dyskaryosis and between normal and mixed squamous/glandular pre-invasive and adenocarcinoma cervical lesions, at designated wavelengths associated with DNA, Amide I/II and lipids. These findings evidence the promise of the SNOM-IR-FEL technique in obtaining chemical information relevant to the detection of cervical cell abnormalities and cancer diagnosis at spatial resolutions below the diffraction limit (≥0.2 μm). We compare these results with analyses following attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy; although this latter approach has been demonstrated to detect underlying cervical atypia missed by conventional cytology, it is limited by a spatial resolution of ~3 μm to 30 μm due to the optical diffraction limit.

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References

23

[1]

Castellsagué, X., Bosch, F. X. & Muñoz, N. Environmental co-factors in HPV carcinogenesis. Virus Res. 89, 191–199 (2002). 10.1016/s0168-1702(02)00188-0

[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). 10.1371/journal.pone.0082416

[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). 10.1039/c3ay42224k

[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). 10.1039/c3an36527a

[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). 10.1039/c4ay01736f

[6]

Harrison, A. J., Bilgili, E. A., Beaudoin, S. P. & Taylor, L. S. Atomic force microscope infrared spectroscopy of griseofulvin nanocrystals. Anal. Chem. 85, 11449–11455 (2013). 10.1021/ac4025889

[7]

Cricenti, A. et al. Very high resolution near-field chemical imaging using an infrared free electron laser. Phys. Chem. Chem. Chem. 4, 2738–2741 (2002). 10.1039/b109279k

[8]

Smith, A. D. et al. Near-field optical microscopy with an infra-red free electron laser applied to cancer diagnosis. Appl. Phys. Lett. 102, 053701 (2013). 10.1063/1.4790436

[9]

Baenke, F., Peck, B., Miess, H. & Schulze, A. Hooked on fat: the role of lipid synthesis in cancer metabolism and tumour development. Dis. Model Mech. 6, 1353–1363 (2013). 10.1242/dmm.011338

[10]

Fourier Transform Infrared (FTIR) Spectroscopy of Biological Tissues

Zanyar Movasaghi, Shazza Rehman, Dr. Ihtesham ur Rehman

Applied Spectroscopy Reviews 2008 10.1080/05704920701829043

[11]

Walker, K.-A. D., Morgan, C., Doak, S. H. & Dunstan, P. R. Quantum dots for multiplexed detection and characterisation of prostate cancer cells using a scanning near-field optical microscope. PLoS One 7, e31592 (2012). 10.1371/journal.pone.0031592

[12]

Andolfi, L. et al. The application of scanning near field optical imaging to the study of human sperm morphology. J Nanobiotechnology. 13, 2 (2015). 10.1186/s12951-014-0061-5

[13]

Zhong, L., Wentao, L., Wang, X. & Cai, J. Detection the specific marker of CD3 molecules of human peripheral T lymphocytes using SNOM and quantum dots. Colloids and Surfaces A: Physiochem. Eng. Aspects 313–314, 642–646 (2008). 10.1016/j.colsurfa.2007.04.173

[14]

Tsai, T.-C. & Chen, S.-L. The biochemical and biological functions of human papillomavirus type 16 E5 protein. Arch. Virol. 148, 1445–1453 (2003). 10.1007/s00705-003-0111-z

[15]

Munger, K. et al. Mechanisms of human papillomavirus-induced oncogenesis. Viro. 78, 11451–11460 (2004). 10.1128/jvi.78.21.11451-11460.2004

[16]

Krimm, S. Jr. & Reisdorf, W. C. Understanding normal modes of proteins. Faraday Discuss. 99, 181–197 (1994). 10.1039/fd9949900181

[17]

Structure of the cross-β spine of amyloid-like fibrils

Rebecca Nelson, Michael R. Sawaya, Melinda Balbirnie et al.

Nature 2005 10.1038/nature03680

[18]

Coutlée, F., Rouleau, D., Ferenczy, A. & Franco, E. The laboratory diagnosis of genital human papillomavirus infections. Can J Infect Dis Med Microbiol. 16, 83–91 (2005). 10.1155/2005/798710

[19]

Thompson, N. R. et al. First lasing of the ALICE infra-red free-electron laser. Nucl. Instrum. Methods Phys. Res. A 680, 117–123 (2012). 10.1016/j.nima.2012.02.049

[20]

Thompson, N. R. et al. Status of the ALICE IR-FEL: from ERL demonstrator to user facility. International Free Electron Laser Conference-FEL 2015, Daejeon, Korea, 2014: TUP015.

[21]

Theophilou, G., Lima, K. M. G., Martin-Hirsch, P. L., Stringfellow, H. F. & Martin, F. L. ATR-FTIR spectroscopy coupled with chemometric analysis discriminates normal, borderline and malignant ovarian tissue: classifying subtypes of human cancer. Analyst 141, 585–594 (2016). 10.1039/c5an00939a

[22]

Galvão, R. K. H., Araújo, M. C. U., Silva, E. C., José, G. E., Soares, S. F. C. & Paiva, H. M. Cross-validation for the selection of spectral variables using the successive projections algorithm. J. Braz. Chem. Soc. 18, 1580–1584 (2007). 10.1590/s0103-50532007000800021

[23]

Computer Aided Design of Experiments

R. W. Kennard, L. A. Stone

Technometrics 1969 10.1080/00401706.1969.10490666

Metrics

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23

References

Details

Published: Jul 12, 2016
Vol/Issue: 6(1)
License: View

Authors

Michele R. F. Siggel-King

KBR, Houston, Texas, United States

Department of Surgery and Cancer Institute of Reproductive and Developmental Biology, Faculty of Medicine, Imperial College London London United Kingdom; Queen Charlotte's and Chelsea – Hammersmith Hospital Imperial College Healthcare NHS Trust London United Kingdom

A

Anita Mitra

Imperial College London; Institute of Reproductive and Developmental Biology; London UK

E

Evangelos Paraskevaidis

Department of Obstetrics and Gynaecology University of Ioannina Ioannina Greece

G

Georgios Theophilou

P

Pierre L. Martin-Hirsch

School of Pharmacy and Biomedical Sciences, University of Central Lancashire, Preston PR1 2HE, U.K.

Cite This Article

Diane E. Halliwell, Camilo L. M. Morais, Kássio M. G. Lima, et al. (2016). Imaging cervical cytology with scanning near-field optical microscopy (SNOM) coupled with an IR-FEL. Scientific Reports, 6(1). https://doi.org/10.1038/srep29494

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

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