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.

Last updated 8/26/2026, 8:57:31 PM

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African DSI DataBank. Stratum corneum nanotexture feature detection using deep learning and spatial analysis: a non-invasive tool for skin barrier assessment. AFDSI-CELL-570. 2026. https://hub.africandsidatabank.africa/cite/AFDSI-CELL-570 Mirrored from data source: BioImage Archive: https://www.ebi.ac.uk/biostudies/studies/S-BIAD1443.Copy citation

@misc{AFDSICELL570,
  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-570}},
  note         = {African DSI DataBank citable identifier AFDSI-CELL-570; Mirrored from data source: BioImage Archive: https://www.ebi.ac.uk/biostudies/studies/S-BIAD1443}
}

AFDSI-CELL-570 is a stable, resolvable local identifier — not a registered DOI. See Terms of use's "Citation policy" for the full explanation.