In cell biology related studies, accuracy and efficiency in cell culture quality checks are crucial in order to avoid any potential complications in the downstream analysis. Usually, different cell parameters such as cell counting and cell size measurement are assessed and estimated visually in a subjective way. However, visual assessments are unreliable, time consuming and often yield inaccurate results which lead to incorrect conclusions and incorrect recommendations. This also adds to the end cost of the analysis with regards to consumables such as costly reagents. In this study, cell confluency application was used to accurately estimate the proportion of adherent cells in an automated manner using a cell culture confluency application available on the InCellis® Smart Cell Imaging System (Bertin Technologies).