SPTnet: a deep learning framework for end-to-end single-particle tracking and motion dynamics analysis

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

Last updated 10/23/2026, 6:06:24 PM

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African DSI DataBank. SPTnet: a deep learning framework for end-to-end single-particle tracking and motion dynamics analysis. AFDSI-CELL-6897. 2026. https://hub.africandsidatabank.africa/cite/AFDSI-CELL-6897 Mirrored from data source: BioImage Archive: https://www.ebi.ac.uk/biostudies/studies/S-BIAD4308.Copy citation

@misc{AFDSICELL6897,
  title        = {SPTnet: a deep learning framework for end-to-end single-particle tracking and motion dynamics analysis},
  author       = {{African DSI DataBank}},
  year         = {2026},
  howpublished = {\url{https://hub.africandsidatabank.africa/cite/AFDSI-CELL-6897}},
  note         = {African DSI DataBank citable identifier AFDSI-CELL-6897; Mirrored from data source: BioImage Archive: https://www.ebi.ac.uk/biostudies/studies/S-BIAD4308}
}

AFDSI-CELL-6897 is a stable, resolvable local identifier — not a registered DOI. See Terms of use's "Citation policy" for the full explanation.