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COMMENT Open Access Over the rainbow Emma Saxon Abstract Shear stress in arteries, which is a measure of the force exerted by blood flow on the arterial wall, is associated with the location of lipid plaques that cause heart disease. In this study, a mathematical model of shear stress was combined with cross-sectional x-ray images of an artery taken using Computed Tomography (CT) scanning, allowing the authors to explore patterns of shearing stress and shed light on the role of arterial architecture in heart disease. Commentary Rainbow colour scales, which usually run from dark blue (low values) to red (high values), are commonly used in several different types of biological images: functional magnetic resonance imaging (fMRI) scans showing activity in the brain, gene expression data in microarrays, or in this case, the levels of shear stress in arteries, expressed as unit of force/unit of area (in this case, dyne/cm 2 ). One problem with the rainbow scale is that it can make relatively small differences seem large: the red sections of Fig. 1 appear very different from the yellow. However, the colour scale shows that the difference between yellow and red is actually much smaller than it appears visually, in the context of the whole colour scale range. The opposite can also be true. In Fig. 1, green spans just under half of the whole colour scale, and dif- ferences between values at the lower and higher ends of the middle range are somewhat masked. These dif- ferences could be better represented with a diverging scale, running between two colours only. As long as these colours are not red and green, a diverging scale would also be more easy to interpret for red-green Correspondence: [email protected] BMC Biology, BioMed Central, 236 Grays Inn Road, London WC1X 8HB, UK colour blind individuals. Michelle Borkin and co- workers at Harvard University recently found that a diverging scale increased accuracy of interpretation relative to the rainbow scale in the case of arterial shearing images [1], challenging the legitimacy of using rainbow scales in this field. Reference 1. Borkin MA, Gajos KZ, Peters A, Mitsouras D, Melchionna S, Rybicki FJ, et al. Evaluation of artery visualizations for heart disease diagnosis. IEEE Trans Vis Comput Graph. 2011;17:247988. Fig. 1. An example of shear stress patterns in an artery. Shear stress is measured in dyne/cm 2 , represented on the image by a rainbow scale from dark blue (0) to red (30) © 2015 Saxon. Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. Saxon BMC Biology (2015) 13:62 DOI 10.1186/s12915-015-0171-z

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Saxon BMC Biology (2015) 13:62 DOI 10.1186/s12915-015-0171-z

COMMENT Open Access

Over the rainbow

Emma Saxon

Abstract

Shear stress in arteries, which is a measure of the forceexerted by blood flow on the arterial wall, is associatedwith the location of lipid plaques that cause heartdisease. In this study, a mathematical model of shearstress was combined with cross-sectional x-ray imagesof an artery taken using Computed Tomography (CT)scanning, allowing the authors to explore patterns ofshearing stress and shed light on the role of arterialarchitecture in heart disease.

Fig. 1. An example of shear stress patterns in an artery. Shear stressis measured in dyne/cm2, represented on the image by a rainbowscale from dark blue (0) to red (30)

CommentaryRainbow colour scales, which usually run from darkblue (low values) to red (high values), are commonlyused in several different types of biological images:functional magnetic resonance imaging (fMRI) scansshowing activity in the brain, gene expression data inmicroarrays, or in this case, the levels of shear stress inarteries, expressed as unit of force/unit of area (in thiscase, dyne/cm2). One problem with the rainbow scale isthat it can make relatively small differences seem large:the red sections of Fig. 1 appear very different fromthe yellow. However, the colour scale shows that thedifference between yellow and red is actually muchsmaller than it appears visually, in the context of thewhole colour scale range.The opposite can also be true. In Fig. 1, green spans

just under half of the whole colour scale, and dif-ferences between values at the lower and higher ends ofthe middle range are somewhat masked. These dif-ferences could be better represented with a divergingscale, running between two colours only. As long asthese colours are not red and green, a diverging scalewould also be more easy to interpret for red-green

Correspondence: [email protected] Biology, BioMed Central, 236 Gray’s Inn Road, London WC1X 8HB, UK

© 2015 Saxon. Open Access This article is dInternational License (http://creativecommoreproduction in any medium, provided youlink to the Creative Commons license, andDedication waiver (http://creativecommonsarticle, unless otherwise stated.

colour blind individuals. Michelle Borkin and co-workers at Harvard University recently found that adiverging scale increased accuracy of interpretationrelative to the rainbow scale in the case of arterialshearing images [1], challenging the legitimacy of usingrainbow scales in this field.

Reference1. Borkin MA, Gajos KZ, Peters A, Mitsouras D, Melchionna S, Rybicki FJ, et al.

Evaluation of artery visualizations for heart disease diagnosis. IEEE Trans VisComput Graph. 2011;17:2479–88.

istributed under the terms of the Creative Commons Attribution 4.0ns.org/licenses/by/4.0/), which permits unrestricted use, distribution, andgive appropriate credit to the original author(s) and the source, provide aindicate if changes were made. The Creative Commons Public Domain.org/publicdomain/zero/1.0/) applies to the data made available in this