Carpenter Anne E
Broad Institute Imaging Platform, 7 Cambridge Center, Room 6011, Cambridge, Massachusetts 02142, USA.
Nat Chem Biol. 2007 Aug;3(8):461-5. doi: 10.1038/nchembio.2007.15.
Technological advances have made it feasible to conduct high-throughput small-molecule screens based on visual phenotypes of individual cells, using automated imaging and analysis. These screens are rapidly moving from being small, proof-of-principle tests to robust and widespread screens of hundreds of thousands of compounds. Automated imaging screens maximize the information obtained in an initial screen and improve the ability to select high-quality leads. In this Perspective, I highlight the key steps necessary for conducting a high-throughput image-based chemical compound screen.
技术进步使得基于单个细胞的视觉表型进行高通量小分子筛选成为可能，可通过自动化成像和分析来实现。这些筛选正迅速从小规模的原理验证测试转变为对数以十万计化合物的强大且广泛的筛选。自动化成像筛选能最大化在初始筛选中获得的信息，并提高选择高质量先导化合物的能力。在这篇观点文章中，我强调了进行基于图像的高通量化合物筛选所需的关键步骤。
