Interdisciplinary Program in Bioengineering, Georgia Institute of Technology, Atlanta, Georgia, USA.
Nat Methods. 2012 Oct;9(10):977-80. doi: 10.1038/nmeth.2141. Epub 2012 Aug 19.
Morphometric studies in multicellular organisms are generally performed manually because of the complexity of multidimensional features and lack of appropriate tools for handling these organisms. Here we present an integrated system that identifies and sorts Caenorhabditis elegans mutants with altered subcellular traits in real time without human intervention. We performed self-directed screens 100 times faster than manual screens and identified both genes and phenotypic classes involved in synapse formation.
在多细胞生物中，形态计量学研究通常是手动进行的，因为多维特征的复杂性以及缺乏处理这些生物体的适当工具。在这里，我们提出了一个集成系统，可以在没有人为干预的情况下实时识别和分类具有改变的亚细胞特征的秀丽隐杆线虫突变体。我们的自动筛选速度比手动筛选快 100 倍，并且鉴定了参与突触形成的基因和表型类别。
