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dc.contributor.authorMcReynolds, Naomi
dc.contributor.authorCooke, Fiona G. M.
dc.contributor.authorChen, Mingzhou
dc.contributor.authorPowis, Simon J.
dc.contributor.authorDholakia, Kishan
dc.identifier.citationMcReynolds , N , Cooke , F G M , Chen , M , Powis , S J & Dholakia , K 2017 , ' Multimodal discrimination of immune cells using a combination of Raman spectroscopy and digital holographic microscopy ' , Scientific Reports , vol. 7 , 43631 .
dc.identifier.otherPURE: 249000814
dc.identifier.otherPURE UUID: f8131952-68c8-434d-b1d1-61ad1bb2e3d8
dc.identifier.otherScopus: 85014607890
dc.identifier.otherORCID: /0000-0002-6190-5167/work/47136406
dc.identifier.otherORCID: /0000-0003-4218-2984/work/60195323
dc.identifier.otherWOS: 000396285800001
dc.descriptionThis work was supported by the UK Engineering and Physical Sciences Research Council under grant EP/J01771X/1, A European Union FAMOS project (FP7 ICT, 317744), and the ’BRAINS’ 600th anniversary appeal, and Dr. E. Killick. We would also like to thank The RS Macdonald Charitable Trust for funding support. KD acknowledges support of a Royal Society Leverhulme Trust Senior Fellowship. This work was also supported by the PreDiCT-TB consortium [IMI Joint undertaking grant agreement number 115337, resources of which are composed of financial contribution from the European Union’s Seventh Framework Programme (FP7/2007-2013) and EFPIA companies’ in kind contribution (]en
dc.description.abstractThe ability to identify and characterise individual cells of the immune system under label-free conditions would be a significant advantage in biomedical and clinical studies where untouched and unmodified cells are required. We present a multi-modal system capable of simultaneously acquiring both single point Raman spectra and digital holographic images of single cells. We use this combined approach to identify and discriminate between immune cell populations CD4+ T cells, B cells and monocytes. We investigate several approaches to interpret the phase images including signal intensity histograms and texture analysis. Both modalities are independently able to discriminate between cell subsets and dual-modality may therefore be used a means for validation. We demonstrate here sensitivities achieved in the range of 86.8% to 100%, and specificities in the range of 85.4% to 100%. Additionally each modality provides information not available from the other providing both a molecular and a morphological signature of each cell.
dc.relation.ispartofScientific Reportsen
dc.rightsCopyright 2017 the Author(s). This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit
dc.subjectQC Physicsen
dc.subjectQH301 Biologyen
dc.subjectR Medicineen
dc.titleMultimodal discrimination of immune cells using a combination of Raman spectroscopy and digital holographic microscopyen
dc.typeJournal articleen
dc.contributor.sponsorEuropean Commissionen
dc.contributor.sponsorThe Royal Societyen
dc.contributor.sponsorEuropean Commissionen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews. School of Physics and Astronomyen
dc.contributor.institutionUniversity of St Andrews. School of Medicineen
dc.contributor.institutionUniversity of St Andrews. Biomedical Sciences Research Complexen
dc.contributor.institutionUniversity of St Andrews. Cellular Medicine Divisionen
dc.description.statusPeer revieweden

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