Automated colony counting based on histogram modeling using gaussian mixture models

Abstract

The task of counting colony forming units (CFUs) manually is repetitive, time consuming and prone to error. Many different approaches have been developed trying to automate this task aiming towards fully automated and reliable software for colony counting. This work presents a new approach to automated counting of CFUs based on histogram modeling using Gaussian mixture models.