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Reproducibility in cytometry: Signals analysis and its connection to uncertainty quantification — Europe PMC PMID:38134031

Source: Europe PMC (en)
Original: https://europepmc.org/article/MED/38134031
DOI: 10.1371/journal.pone.0295502
License (as archived): CC0-1.0
Archived: 2026-10-07T11:29:16.387Z
SHA-256 of the archived text: 931ac3ce662f2e969480955aa5658bb91e0823c89aa1491064e8ec338e9abcef
Stable URL of this page: https://metraipolis.com/documento/dc_104f46e76dab

How to cite

Reproducibility in cytometry: Signals analysis and its connection to uncertainty quantification — Europe PMC PMID:38134031 — Europe PMC (en), https://europepmc.org/article/MED/38134031 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_104f46e76dab (Metraipolis archive dc_104f46e76dab, sha256 931ac3ce662f2e969480955aa5658bb91e0823c89aa1491064e8ec338e9abcef)

BibTeX

@misc{dc104f46e76dab,
  title = {Reproducibility in cytometry: Signals analysis and its connection to uncertainty quantification — Europe PMC PMID:38134031},
  howpublished = {Europe PMC (en)},
  url = {https://europepmc.org/article/MED/38134031},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_104f46e76dab; sha256 931ac3ce662f2e969480955aa5658bb91e0823c89aa1491064e8ec338e9abcef},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: Europe PMC (en), https://europepmc.org/article/MED/38134031. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Signals analysis for cytometry remains a challenging task that has a significant impact on uncertainty. Conventional cytometers assume that individual measurements are well characterized by simple properties such as the signal area, width, and height. However, these approaches have difficulty distinguishing inherent biological variability from instrument artifacts and operating conditions. As a result, it is challenging to quantify uncertainty in the properties of individual cells and perform tasks such as doublet deconvolution. We address these problems via signals analysis techniques that use scale transformations to: (I) separate variation in biomarker expression from effects due to flow conditions and particle size; (II) quantify reproducibility associated with a given laser interrogation region; (III) estimate uncertainty in measurement values on a per-event basis; and (IV) extract the singlets that make up a multiplet. The key idea behind this approach is to model how variable operating conditions deform the signal shape and then use constrained optimization to "undo" these deformations for measured signals; residuals to this process characterize reproducibility. Using a recently developed microfluidic cytometer, we demonstrate that these techniques can account for instrument and measurand induced variability with a residual uncertainty of less than 2.5% in the signal shape and less than 1% in integrated area.

Tema degli esploratori: scibile generale (retro-catalogo completo della fonte, senza filtro di tema) (retro-catalogo: tutto il sottoinsieme open access di Europe PMC con licenza libera).
Pubblicazione: PloS one, 2023 (prima pubblicazione 2023-12-22).
Identificativi: PMID 38134031 · PMCID PMC10745152 · DOI 10.1371/journal.pone.0295502.
Descrittori MeSH principali: Reproducibility of Results.
Pagina: https://europepmc.org/article/MED/38134031 — https://doi.org/10.1371/journal.pone.0295502. Autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza dell'articolo dichiarata da Europe PMC: CC0 (la versione è indicata dall'editore sulla pagina). Abstract riportato senza modifiche al contenuto, con attribuzione; deposito marcato CC0.
Letto il 2026-10-07T11:17:10.593Z tramite l'API REST ufficiale di Europe PMC (EMBL-EBI), nel rispetto del robots.txt e del crawl-delay.