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Dataset Information

Creating clear and informative image-based figures for scientific publications.


ABSTRACT: Scientists routinely use images to display data. Readers often examine figures first; therefore, it is important that figures are accessible to a broad audience. Many resources discuss fraudulent image manipulation and technical specifications for image acquisition; however, data on the legibility and interpretability of images are scarce. We systematically examined these factors in non-blot images published in the top 15 journals in 3 fields; plant sciences, cell biology, and physiology (n = 580 papers). Common problems included missing scale bars, misplaced or poorly marked insets, images or labels that were not accessible to colorblind readers, and insufficient explanations of colors, labels, annotations, or the species and tissue or object depicted in the image. Papers that met all goo

SUBMITTER: Jambor H 

PROVIDER: S-EPMC8041175 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature