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

• Published in: Scientific data Vol. 4; no. 1; p. 170084
• Main Authors: Halliwell, Diane E., Morais, Camilo L.M., Lima, Kássio M.G., Trevisan, Júlio, Siggel-King, Michele R.F., Craig, Tim, Ingham, James, Martin, David S., Heys, Kelly, Kyrgiou, Maria, Mitra, Anita, Paraskevaidis, Evangelos, Theophilou, Georgios, Martin-Hirsch, Pierre L., Cricenti, Antonio, Luce, Marco, Weightman, Peter, Martin, Francis L.
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 11.07.2017; Nature Publishing Group
• Subjects: 631/80/2373/2238; 639/624/1107/527/2257; 692/53/2423; Cell Nucleus; Cervix; Cervix Uteri - cytology; Cervix Uteri - diagnostic imaging; Data Descriptor; Demography; Deoxyribonucleic acid; DNA; Female; Fourier analysis; Humanities and Social Sciences; Humans; Image processing; Infrared spectroscopy; Lasers; Lipids; Microscopy; multidisciplinary; Pregnancy; Science; Spectroscopy, Fourier Transform Infrared; Spectrum analysis
• ISSN: 2052-4463; 2052-4463
• DOI: 10.1038/sdata.2017.84

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. Design Type(s) replicate design • disease state design • observation design Measurement Type(s) isolated subcellular component • reflectance spectrum Technology Type(s) scanning near-field optical microscopy • attenuated total reflectance Fourier transform infrared spectroscopy Factor Type(s) cell phenotype • biomolecule target Sample Characteristic(s) Homo sapiens • cervical epithelium Machine-accessible metadata file describing the reported data (ISA-Tab format)