Comparative Clinical Pathology

, Volume 28, Issue 4, pp 937–941 | Cite as

Hematological value references for free-living saffron finch (Sicalis flaveola) using a machine-learning-based classifier

  • Márcio Luiz Passabom Jacob
  • Célio Siman Mafra Nunes
  • Paola Cristina de Oliveira Borba
  • Gabrielly Pereira Ribeiro
  • Tadeu Uggere de Andrade
  • Denise Coutinho Endringer
  • Dominik LenzEmail author
Original Article


Sicalis flaveola, also known as saffron finch, has now become a species of interest to researchers and scholars in the area, due to illegal trade and the destruction of its natural habitat. Among the ways to evaluate cells, the automatic counting method through image cytometry has been highlighted. The present study aims to evaluate the image cytometry method as an alternative for use for data analysis tool.


Sicalis flaveola Image cytometry CellProfiler Machine learning 


Compliance with ethical standards

The samples used are from a previous primary study which has been approved by the Animal Ethics Committee of the University of Vila Velha (no. 267/2013) and by the Authorization and Information System on Biodiversity (SISBIO) (20216-1).

Conflict of interest

The authors declare that they have no conflicts of interest.


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Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2018

Authors and Affiliations

  • Márcio Luiz Passabom Jacob
    • 1
  • Célio Siman Mafra Nunes
    • 1
  • Paola Cristina de Oliveira Borba
    • 1
  • Gabrielly Pereira Ribeiro
    • 1
  • Tadeu Uggere de Andrade
    • 1
  • Denise Coutinho Endringer
    • 1
  • Dominik Lenz
    • 1
    Email author
  1. 1.Department of PharmacologyUniversidade Vila VelhaVila VelhaBrazil

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