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首页> 外文期刊>Scientific reports. >Optimization of sample preparation and green color imaging using the mNeonGreen fluorescent protein in bacterial cells for photoactivated localization microscopy
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Optimization of sample preparation and green color imaging using the mNeonGreen fluorescent protein in bacterial cells for photoactivated localization microscopy

机译:使用Mneongreen荧光蛋白在细菌细胞中的样品制备和绿色成像的优化,用于光活化的定位显微镜

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mNeonGreen fluorescent protein is capable of photo-switching, hence in principle applicable for super-resolution imaging. However, difficult-to-control blinking kinetics that lead to simultaneous emission of multiple nearby mNeonGreen molecules impedes its use for PALM. Here, we determined the on- and off- switching rate and the influence of illumination power on the simultaneous emission. Increasing illumination power reduces the probability of simultaneous emission, but not enough to generate high quality PALM images. Therefore, we introduce a simple data post-processing step that uses temporal and spatial information of molecule localizations to further reduce artifacts arising from simultaneous emission of nearby emitters. We also systematically evaluated various sample preparation steps to establish an optimized protocol to preserve cellular morphology and fluorescence signal. In summary, we propose a workflow for super-resolution imaging with mNeonGreen based on optimization of sample preparation, data acquisition and simple post-acquisition data processing. Application of our protocol enabled us to resolve the expected double band of bacterial cell division protein DivIVA, and to visualize that the chromosome organization protein ParB organized into sub-clusters instead of the typically observed diffraction-limited foci. We expect that our workflow allows a broad use of mNeonGreen for super-resolution microscopy, which is so far difficult to achieve.
机译:MneOngreen荧光蛋白能够光切换,因此原则上适用于超分辨率的成像。然而,难以控制的闪烁动力学,导致同时发射多个附近的mneongreen分子阻碍了它的棕榈。在这里,我们确定了在同时发射的开关率和照明电力的影响。增加照明功率降低了同时发射的概率,但不足以产生高质量的掌耳图像。因此,我们介绍了一种简单的数据后处理步骤,该步骤使用分子本地化的时间和空间信息来进一步减少由附近发射器的同时发射产生的伪像。我们还系统地评估了各种样品制备步骤以建立优化的方案以保持细胞形态和荧光信号。总之,我们提出了一种基于样品准备,数据采集和简单的采集数据处理的优化的MneOngreen的超分辨率成像的工作流程。我们的协议的应用使我们能够解决细菌细胞分裂蛋白Diva的预期双频带,并使染色体组织蛋白质Parb组织成亚簇代替通常观察到的衍射限制性焦点。我们预计我们的工作流程允许广泛地使用MneOngreen进行超分辨率显微镜,这是难以实现的。

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