Stratum corneum nanotexture feature detection using deep learning and spatial analysis: a non-invasive tool for skin barrier assessment

Cellular/molecular imaging dataset— a durable, citable reference into the African DSI DataBank's federated catalog.

publicrestrictedorigin: hub

Last updated 8/21/2026, 12:45:07 AM

Cite this record

African DSI DataBank. Stratum corneum nanotexture feature detection using deep learning and spatial analysis: a non-invasive tool for skin barrier assessment. AFDSI-CELL-6. 2026. https://hub.africandsidatabank.africa/cite/AFDSI-CELL-6 Mirrored from data source: BioImage Archive: https://www.ebi.ac.uk/biostudies/studies/S-BIAD1443.

BibTeX

@misc{AFDSICELL6,
  title        = {Stratum corneum nanotexture feature detection using deep learning and spatial analysis: a non-invasive tool for skin barrier assessment},
  author       = {{African DSI DataBank}},
  year         = {2026},
  howpublished = {\url{https://hub.africandsidatabank.africa/cite/AFDSI-CELL-6}},
  note         = {African DSI DataBank citable identifier AFDSI-CELL-6; Mirrored from data source: BioImage Archive: https://www.ebi.ac.uk/biostudies/studies/S-BIAD1443}
}

AFDSI-CELL-6 is a stable, resolvable local identifier — not a registered DOI. See Terms of use's "Citation policy" for the full explanation.