Automatic quantification of the subcellular localization of chimeric GFP protein supported by a two-level Naive Bayes classifier
作者：
Highlights：
• Automatic detection and counting of cells overexpressing GFP-chimeric proteins.
• Confocal microscopic images show two kinds of cells plus some objects which must be discarded.
• A trained specialist must distinguish and count manually the cells of each kind.
• The paper proposes a two level Naïve Bayes classifier to carry out this task automatically.
• Results show that the proposed method is valid, and can avoid experts the manual quantification.
摘要
•Automatic detection and counting of cells overexpressing GFP-chimeric proteins.•Confocal microscopic images show two kinds of cells plus some objects which must be discarded.•A trained specialist must distinguish and count manually the cells of each kind.•The paper proposes a two level Naïve Bayes classifier to carry out this task automatically.•Results show that the proposed method is valid, and can avoid experts the manual quantification.
论文关键词：Confocal imaging,Protein translocation,Artificial vision,Supervised classification
论文评审过程：Available online 8 October 2014.
论文官网地址：https://doi.org/10.1016/j.eswa.2014.09.052
