Imperial College London
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Professor Maria Kyrgiou

Faculty of Medicine, Department of Metabolism, Digestion and Reproduction

Chair in Gynaecologic Oncology
 
 
 
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Contact

 

+44 (0)20 7594 2177m.kyrgiou Website

 
 
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Location

 

Institute of Reproductive and Developmental BiologyHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Halliwell:2017:10.1038/sdata.2017.84,
author = {Halliwell, DE and Morais, CLM and Lima, KMG and Trevisan, J and Siggel-King, MRF and Craig, T and Ingham, J and Martin, DS and Heys, K and Kyrgiou, M and Mitra, A and Paraskevaidis, E and Theophilou, G and Martin-Hirsch, PL and Cricenti, A and Luce, M and Weightman, P and Martin, FL},
doi = {10.1038/sdata.2017.84},
journal = {SCIENTIFIC DATA},
title = {An imaging dataset of cervical cells using scanning near-field optical microscopy coupled to an infrared free electron laser},
url = {http://dx.doi.org/10.1038/sdata.2017.84},
volume = {4},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Using a scanning near-field optical microscope coupled to an infrared free electron laser (SNOM-IR-FEL) in low-resolution transmission mode, we collected chemical data from whole cervical cells obtained from 5 pre-menopausal, non-pregnant women of reproductive age, and cytologically classified as normal or with different grades of cervical cell dyskaryosis. Imaging data are complemented by demography. All samples were collected before any treatment. Spectra were also collected using attenuated total reflection, Fourier-transform (ATR-FTIR) spectroscopy, to investigate the differences between the two techniques. Results of this pilot study suggests SNOM-IR-FEL may be able to distinguish cervical abnormalities based upon changes in the chemical profiles for each grade of dyskaryosis at designated wavelengths associated with DNA, Amide I/II, and lipids. The novel data sets are the first collected using SNOM-IR-FEL in transmission mode at the ALICE facility (UK), and obtained using whole cells as opposed to tissue sections, thus providing an ‘intact’ chemical profile. These data sets are suited to complementing future work on image analysis, and/or applying the newly developed algorithm to other datasets collected using the SNOM-IR-FEL approach.
AU  - Halliwell,DE
AU  - Morais,CLM
AU  - Lima,KMG
AU  - Trevisan,J
AU  - Siggel-King,MRF
AU  - Craig,T
AU  - Ingham,J
AU  - Martin,DS
AU  - Heys,K
AU  - Kyrgiou,M
AU  - Mitra,A
AU  - Paraskevaidis,E
AU  - Theophilou,G
AU  - Martin-Hirsch,PL
AU  - Cricenti,A
AU  - Luce,M
AU  - Weightman,P
AU  - Martin,FL
DO  - 10.1038/sdata.2017.84
PY  - 2017///
SN  - 2052-4463
TI  - An imaging dataset of cervical cells using scanning near-field optical microscopy coupled to an infrared free electron laser
T2  - SCIENTIFIC DATA
UR  - http://dx.doi.org/10.1038/sdata.2017.84
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000405177500001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/51596
VL  - 4
ER  -
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