IdentiCyte: simple red blood cell identification software

Guillaume F.G. Garnier, Clare A. Manderson, Saveen Giri, Gil Garnier

Research output: Contribution to journalArticleResearchpeer-review

1 Citation (Scopus)

Abstract

Counting and identifying red blood cells (RBCs) by shape is an important step in diagnosing several diseases and disorders. This is traditionally done by hand (a tedious and time consuming process) or with specialized equipment. There exist several tools to count and classify cells in an image automatically; however, they often sacrifice simplicity in favour of having a wide range of applications. In this paper, we present IdentiCyte, a program specifically designed to quickly count and identify RBCs from a series of microscope images as simply as possible.

Original languageEnglish
Pages (from-to)223-229
Number of pages7
JournalSoftwareX
Volume9
DOIs
Publication statusPublished - 1 Jan 2019

Keywords

  • Cell shape
  • Erythrocyte
  • Image recognition
  • Red blood cell

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