Altmetric

An imaging dataset of cervical cells using scanning near-field optical microscopy coupled to an infrared free electron laser

File Description SizeFormat 
sdata201784.pdfPublished version824.6 kBAdobe PDFView/Open
Title: An imaging dataset of cervical cells using scanning near-field optical microscopy coupled to an infrared free electron laser
Authors: Halliwell, DE
Morais, CLM
Lima, KMG
Trevisan, J
Siggel-King, MRF
Craig, T
Ingham, J
Martin, DS
Heys, K
Kyrgiou, M
Mitra, A
Paraskevaidis, E
Theophilou, G
Martin-Hirsch, PL
Cricenti, A
Luce, M
Weightman, P
Martin, FL
Item Type: Journal Article
Abstract: 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.
Issue Date: 11-Jul-2017
Date of Acceptance: 3-May-2017
URI: http://hdl.handle.net/10044/1/51596
DOI: https://dx.doi.org/10.1038/sdata.2017.84
ISSN: 2052-4463
Publisher: NATURE PUBLISHING GROUP
Journal / Book Title: SCIENTIFIC DATA
Volume: 4
Copyright Statement: © 2017 The Author(s). Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article.
Sponsor/Funder: British Society for Colposcopy and Cervical Pathology
Imperial College Healthcare Charity
Genesis Research Trust
Imperial College Healthcare Charity
Medical Research Council (MRC)
Funder's Grant Number: N/A
7114/R17R
01020
MC_PC15028
Keywords: Science & Technology
Multidisciplinary Sciences
Science & Technology - Other Topics
UTERINE CERVIX
SPECTROSCOPY
CYTOLOGY
SNOM
Publication Status: Published
Article Number: ARTN 170084
Appears in Collections:Division of Surgery
Faculty of Medicine



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Creative Commons