Test Samples for Optimizing STORM Super-Resolution Microscopy

摘要: STORM is a recently developed super-resolution microscopy technique with up to 10 times better resolution than standard fluorescence techniques. However, as the image acquired in very different way normal, by building an molecule-by-molecule, there are some significant challenges for users trying optimize their acquisition. In order aid this process and gain more insight into how works we present preparation of 3 test samples methodology acquiring processing images typical resolutions between 30-50 nm. By combining use freely available rainSTORM software it possible obtain great deal information about quality resolution. Using these metrics then imaging procedure from optics, sample preparation, dye choice, buffer conditions, acquisition settings. We also show examples common problems that result poor quality, such lateral drift, where moves during density related resulting 'mislocalization' phenomenon.