IdentiCyte: Simple red blood cell identification software

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. Keywords: Image recognition, Cell shape, Red blood cell, Erythrocyte