A Machine Vision Framework for Automated Localization of Microinjection Sites on Low-Contrast Single Adherent Cells

摘要

To perform high-throughput single-cell studies, automation of the potential experiments is quite necessary. Due to their complex morphology, automatic manipulation and visual analysis of adherent cells which include a wide range of mammalian cell lines is a challenging task. In this paper, the problem of adherent cells localization for the purpose of automated robotic microinjection has been stated and a practical two-stage texture-based solution has been proposed. The method has been tested on NIH/3T3 cells and the results have been reported.