Biomedical and Optical Imaging Laboratory, Deparstments of Medicine and Bioengineering, University of Pittsburgh, Pittsburgh, PA, 15213, USA.
Department of Pathology, West China Second University Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
Sci Rep. 2021 Oct 14;11(1):20417. doi: 10.1038/s41598-021-00066-3.
Super-resolution localization microscopy allows visualization of biological structure at nanoscale resolution. However, the presence of heterogeneous background can degrade the nanoscale resolution by tens of nanometers and introduce significant image artifacts. Here we investigate and validate an efficient approach, referred to as extreme value-based emitter recovery (EVER), to accurately recover the distorted fluorescent emitters from heterogeneous background. Through numerical simulation and biological experiments, we validated the accuracy of EVER in improving the fidelity of the reconstructed super-resolution image for a wide variety of imaging characteristics. EVER requires no manual adjustment of parameters and has been implemented as an easy-to-use ImageJ plugin that can immediately enhance the quality of reconstructed super-resolution images. This method is validated as an efficient way for robust nanoscale imaging of samples with heterogeneous background fluorescence, such as thicker tissue and cells.
超分辨率定位显微镜可以实现纳米级分辨率的生物结构可视化。然而,异质背景的存在会使纳米级分辨率降低数十纳米,并引入显著的图像伪影。在这里,我们研究并验证了一种有效的方法,称为基于极值的荧光团恢复(EVER),用于从异质背景中准确恢复变形的荧光团。通过数值模拟和生物实验,我们验证了 EVER 在提高各种成像特性的重构超分辨率图像保真度方面的准确性。EVER 不需要手动调整参数,并且已经作为一个易于使用的 ImageJ 插件实现,可以立即提高重构超分辨率图像的质量。该方法已被验证为一种有效方法,可用于对具有异质背景荧光的样本进行稳健的纳米级成像,例如较厚的组织和细胞。