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Making colourful sense of Raman images of single cells

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Making colourful sense of Raman images of single cells. / Ashton, Lorna; Hollyowood, Katherine; Goodacre, Royston.
In: Analyst, Vol. 140, No. 6, 21.03.2015, p. 1852-1858.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Ashton, L, Hollyowood, K & Goodacre, R 2015, 'Making colourful sense of Raman images of single cells', Analyst, vol. 140, no. 6, pp. 1852-1858. https://doi.org/10.1039/c4an02298j

APA

Ashton, L., Hollyowood, K., & Goodacre, R. (2015). Making colourful sense of Raman images of single cells. Analyst, 140(6), 1852-1858. https://doi.org/10.1039/c4an02298j

Vancouver

Ashton L, Hollyowood K, Goodacre R. Making colourful sense of Raman images of single cells. Analyst. 2015 Mar 21;140(6):1852-1858. Epub 2015 Feb 3. doi: 10.1039/c4an02298j

Author

Ashton, Lorna ; Hollyowood, Katherine ; Goodacre, Royston. / Making colourful sense of Raman images of single cells. In: Analyst. 2015 ; Vol. 140, No. 6. pp. 1852-1858.

Bibtex

@article{66eb5030e4a04e5a84d90421aa9731dd,
title = "Making colourful sense of Raman images of single cells",
abstract = "In order to understand biological systems it is important to gain pertinent information on the spatial localisation of chemicals within cells. With the relatively recent advent of high-resolution chemical imaging this is being realised and one rapidly developing area of research is the Raman mapping of single cells, an approach whose success has vast potential for numerous areas of biomedical research. However, there is a danger of undermining the potential routine use of Raman mapping due to a lack of consistency and transparency in the way false-shaded Raman images are constructed. In this study we demonstrate, through the use of simulated data and real Raman maps of single human keratinocyte (HaCaT) cells, how changes in the application of colour shading can dramatically alter the final Raman images. In order to avoid ambiguity and potential subjectivity in image interpretation we suggest that data distribution plots are used to aid shading approaches and that extreme care is taken to use the most appropriate false-shading for the biomedical question under investigation.",
author = "Lorna Ashton and Katherine Hollyowood and Royston Goodacre",
year = "2015",
month = mar,
day = "21",
doi = "10.1039/c4an02298j",
language = "English",
volume = "140",
pages = "1852--1858",
journal = "Analyst",
issn = "0003-2654",
publisher = "Royal Society of Chemistry",
number = "6",

}

RIS

TY - JOUR

T1 - Making colourful sense of Raman images of single cells

AU - Ashton, Lorna

AU - Hollyowood, Katherine

AU - Goodacre, Royston

PY - 2015/3/21

Y1 - 2015/3/21

N2 - In order to understand biological systems it is important to gain pertinent information on the spatial localisation of chemicals within cells. With the relatively recent advent of high-resolution chemical imaging this is being realised and one rapidly developing area of research is the Raman mapping of single cells, an approach whose success has vast potential for numerous areas of biomedical research. However, there is a danger of undermining the potential routine use of Raman mapping due to a lack of consistency and transparency in the way false-shaded Raman images are constructed. In this study we demonstrate, through the use of simulated data and real Raman maps of single human keratinocyte (HaCaT) cells, how changes in the application of colour shading can dramatically alter the final Raman images. In order to avoid ambiguity and potential subjectivity in image interpretation we suggest that data distribution plots are used to aid shading approaches and that extreme care is taken to use the most appropriate false-shading for the biomedical question under investigation.

AB - In order to understand biological systems it is important to gain pertinent information on the spatial localisation of chemicals within cells. With the relatively recent advent of high-resolution chemical imaging this is being realised and one rapidly developing area of research is the Raman mapping of single cells, an approach whose success has vast potential for numerous areas of biomedical research. However, there is a danger of undermining the potential routine use of Raman mapping due to a lack of consistency and transparency in the way false-shaded Raman images are constructed. In this study we demonstrate, through the use of simulated data and real Raman maps of single human keratinocyte (HaCaT) cells, how changes in the application of colour shading can dramatically alter the final Raman images. In order to avoid ambiguity and potential subjectivity in image interpretation we suggest that data distribution plots are used to aid shading approaches and that extreme care is taken to use the most appropriate false-shading for the biomedical question under investigation.

U2 - 10.1039/c4an02298j

DO - 10.1039/c4an02298j

M3 - Journal article

VL - 140

SP - 1852

EP - 1858

JO - Analyst

JF - Analyst

SN - 0003-2654

IS - 6

ER -