150 years of scientific illustration

Belknap, Geoffrey

doi:10.1038/d41586-019-03306-9

Cited by 9 publications

(3 citation statements)

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“…2 -[N]. Evidently, the SPM, which produces form-unbiased interpolations of data as the basis for a well-constrained extrapolation, reveals that there is no discrepancy between the proton radius obtained from scattering and that inferred from the Lamb shift in muonic hydrogen -0.84136(39) fm [37,39], the modern measurement of the transition-frequency in regular hydrogenfm [40], and the Lamb shift in atomic hydrogen -fm [43]. These values also, therefore, match the combination of the latest measurements of the and transition frequencies in atomic hydrogen -fm [74] and even the muonic deuterium determination fm [75].…”

Section: With Thementioning

confidence: 99%

Hadron and light nucleus radii from electron scattering*

et al. 2022

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Conceptually, radii are amongst the simplest Poincar'e-invariant properties that can be associated with hadrons and light nuclei. Accurate values of these quantities are necessary so that one may judge the character of putative solutions to the strong interaction problem within the Standard Model. However, limiting their ability to serve in this role, recent measurements and new analyses of older data have revealed uncertainties and imprecisions in the radii of the proton, pion, kaon, and deuteron. In the context of radius measurement using electron+hadron elastic scattering, the past decade has shown that reliable extraction requires minimisation of bias associated with practitioner-dependent choices of data fitting functions. Different answers to that challenge have been offered; and this perspective describes the statistical Schlessinger point method (SPM), in unifying applications to proton, pion, kaon, and deuteron radii. Grounded in analytic function theory, independent of assumptions about underlying dynamics, free from practitioner-induced bias, and applicable in the same form to diverse systems and observables, the SPM returns an objective expression of the information contained in any data under consideration. Its robust nature and versatility make it suitable for use in many branches of experiment and theory.Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Article funded by SCOAP3 and published under licence by Chinese Physical Society and the Institute of High Energy Physics of the Chinese Academy of Science and the Institute of Modern Physics of the Chinese Academy of Sciences and IOP Publishing Ltd.

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Section: With Thementioning

confidence: 99%

Hadron and light nucleus radii from electron scattering*

et al. 2022

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“…Oncologists, for example, rely on X-rays as the first tool of identifying cancer in patients, and they are used throughout cancer treatment to trace changes in cancerous growth. X-ray technology was also a foundational technological step towards the development of X-ray crystallography, the tool used by Rosalind Franklin (1920–1958) and Raymond Gosling (1926–2015) to create ‘photograph 51’ which was the critical data for the discovery of the structure of DNA [ 19 ].…”

Section: Schuster's X-raymentioning

confidence: 99%

Locating disease spread: cholera to coronavirus and the art of the image

Barrett

Belknap

2021

Interface Focus.

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This article considers the history of medical image-making to shed light on an aspect of the COVID-19 pandemic. Starting from a contemporary art commission in the Science Museum's ‘Medicine: The Wellcome Galleries’, we look at the role of image production and presentation in understanding the spread of disease. From the intertwined histories of art and scientific image-making, we explore five examples of iconic medical images, by John Snow, Florence Nightingale, Arthur Schuster, Donald Caspar and Aaron Klug, ending with a model of the coronavirus by the Cambridge University Laboratory of Molecular Biology. We trace how images have provided the means for discovery, for description and for diagnosis and outline the different ways in which diseases have been located in the history of the medical image: in the community, in the body, in the cell and on the image itself.

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“…Que la arqueología ha infravalorado la ilustración y no ha tomado muy seriamente la capacidad comunicativa de su lenguaje visual es algo bien sabido desde al menos dos décadas (Smiles y Moser 2005). Y aunque el valor de la imagen en arqueología esta bien reconocido hoy, como en la ciencia en general (Belknapp 2019), no se puede decir lo mismo de las publicaciones. Éstas llevan experimentando -fuera de los informes y memorias -una continua reducción de su número.…”

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Chris Gosden (2018): 'Prehistory. A Very Short Introduction'. (2nd Edition). Oxford, Oxford University Press. (132 págs. + 10 Figs). ISBN: 978-0-19-880351-5. (17, 5 x 11 cm).

Zapatero

2020

Complutum

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150 years of scientific illustration

Abstract: The evolution of scientific illustrationThe interplay of image-making, research and visual technologies over the past 150 years. By Geoffrey Belknap Norman Lockyer's figure of a solar spectrum, published in the first issue of Nature.

Cited by 9 publications

References 20 publications

Hadron and light nucleus radii from electron scattering*

Hadron and light nucleus radii from electron scattering*

Locating disease spread: cholera to coronavirus and the art of the image

Chris Gosden (2018): 'Prehistory. A Very Short Introduction'. (2nd Edition). Oxford, Oxford University Press. (132 págs. + 10 Figs). ISBN: 978-0-19-880351-5. (17, 5 x 11 cm).

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