Multicentric evaluation of the variability of digital morphology performances also respect to the reference methods by optical microscopy

  • Giorgio Da Rin
  • , Michela Seghezzi
  • , Andrea Padoan
  • , Rachele Pajola
  • , Anna Bengiamo
  • , Anna Maria Di Fabio
  • , Francesco Dima
  • , Alessandra Fanelli
  • , Sara Francione
  • , Luca Germagnoli
  • , Maria Lorubbio
  • , Alessandro Marzoni
  • , Silvia Pipitone
  • , Roberta ROLLA
  • , Maria Del Carmen Bagorria Vaca
  • , Andrea Bartolini
  • , Lisa Bonato
  • , Laura Sciacovelli
  • , Sabrina Buoro

Risultato della ricerca: Contributo su rivistaArticolo in rivistapeer review

Abstract

Despite the important diagnostic role of peripheral blood morphology, cell classification is subjective. Automated image-processing systems (AIS) provide more accurate and objective morphological evaluation. The aims of this multicenter study were the evaluation of the intra and inter-laboratory variation between different AIS in cell pre-classification and after reclassification, compared with manual optical microscopy, the reference method.
Lingua originaleInglese
pagine (da-a)1040-1049
Numero di pagine10
RivistaInternational Journal of Laboratory Hematology
Volume44
Numero di pubblicazione6
DOI
Stato di pubblicazionePubblicato - 2022

Keywords

  • Blood Cells
  • Humans
  • Image Processing, Computer-Assisted
  • Microscopy
  • Reproducibility of Results
  • Respect
  • automated image-processing systems
  • between-laboratory precision
  • digital morphology
  • optical microscopy
  • within-laboratory reproducibility

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