Machine Learning-based Phenotypic Imaging to Characterise the Targetable Biology of Plasmodium falciparum Male Gametocytes for Transmission-Blocking Antimalarials

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

Last updated 8/26/2026, 8:58:25 PM

Cite this record

African DSI DataBank. Machine Learning-based Phenotypic Imaging to Characterise the Targetable Biology of Plasmodium falciparum Male Gametocytes for Transmission-Blocking Antimalarials . AFDSI-CELL-607. 2026. https://hub.africandsidatabank.africa/cite/AFDSI-CELL-607 Mirrored from data source: BioImage Archive: https://www.ebi.ac.uk/biostudies/studies/S-BIAD633.Copy citation

@misc{AFDSICELL607,
  title        = {Machine Learning-based Phenotypic Imaging to Characterise the Targetable Biology of Plasmodium falciparum Male Gametocytes for Transmission-Blocking Antimalarials },
  author       = {{African DSI DataBank}},
  year         = {2026},
  howpublished = {\url{https://hub.africandsidatabank.africa/cite/AFDSI-CELL-607}},
  note         = {African DSI DataBank citable identifier AFDSI-CELL-607; Mirrored from data source: BioImage Archive: https://www.ebi.ac.uk/biostudies/studies/S-BIAD633}
}

AFDSI-CELL-607 is a stable, resolvable local identifier — not a registered DOI. See Terms of use's "Citation policy" for the full explanation.