Baumgart Florian, Arnold Andreas M, Leskovar Konrad, Staszek Kaj, Fölser Martin, Weghuber Julian, Stockinger Hannes, Schütz Gerhard J
Institute of Applied Physics, TU Wien, Vienna, Austria.
School of Engineering and Environmental Sciences, University of Applied Sciences Upper Austria, Wels, Austria.
Nat Methods. 2016 Aug;13(8):661-4. doi: 10.1038/nmeth.3897. Epub 2016 Jun 13.
We present a method to robustly discriminate clustered from randomly distributed molecules detected with techniques based on single-molecule localization microscopy, such as PALM and STORM. The approach is based on deliberate variation of labeling density, such as titration of fluorescent antibody, combined with quantitative cluster analysis, and it thereby circumvents the problem of cluster artifacts generated by overcounting of blinking fluorophores. The method was used to analyze nanocluster formation in resting and activated immune cells.
我们提出了一种方法,用于稳健地区分通过基于单分子定位显微镜技术(如PALM和STORM)检测到的聚集分子和随机分布的分子。该方法基于标记密度的有意变化,例如荧光抗体的滴定,并结合定量聚类分析,从而规避了由于闪烁荧光团计数过多而产生的聚类伪像问题。该方法用于分析静息和活化免疫细胞中的纳米簇形成。