A machine vision framework for automated localization of microinjection sites on low-contrast single adherent cells
作者： Hadi Esmaeilsabzali , Kelly Sakaki , Nikolai Dechev , Robert D. Burke , Edward J. Park
DOI: 10.1007/978-3-642-21596-4_2
关键词:
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 adherent cells which include a wide range mammalian cell lines challenging task. In this paper, problem localization for purpose automated robotic microinjection has been stated practical two-stage texture-based solution proposed. The method tested on NIH/3T3 results have reported.
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