Identifying images in the biology literature that are problematic for people with a color-vision deficiency.
accessibility
color vision deficiency
computational biology
convolutional neural network
deuteranopia
image classification
none
scientific publishing
systems biology
Journal
eLife
ISSN: 2050-084X
Titre abrégé: Elife
Pays: England
ID NLM: 101579614
Informations de publication
Date de publication:
11 Sep 2024
11 Sep 2024
Historique:
medline:
11
9
2024
pubmed:
11
9
2024
entrez:
11
9
2024
Statut:
epublish
Résumé
To help maximize the impact of scientific journal articles, authors must ensure that article figures are accessible to people with color-vision deficiencies (CVDs), which affect up to 8% of males and 0.5% of females. We evaluated images published in biology- and medicine-oriented research articles between 2012 and 2022. Most included at least one color contrast that could be problematic for people with deuteranopia ('deuteranopes'), the most common form of CVD. However, spatial distances and within-image labels frequently mitigated potential problems. Initially, we reviewed 4964 images from
Identifiants
pubmed: 39259199
doi: 10.7554/eLife.95524
pii: 95524
doi:
pii:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© 2024, Stevens et al.
Déclaration de conflit d'intérêts
HS, CW, AO, SP No competing interests declared