Shang Mingtao, Huang Zhen-Li, Wang Yujie
Appl Opt. 2022 May 1;61(13):3516-3522. doi: 10.1364/AO.451561.
Super-resolution localization microscopy (SRLM) breaks the diffraction limit successfully and improves the resolution of optical imaging systems by nearly an order of magnitude. However, SRLM typically takes several minutes or longer to collect a sufficient number of image frames that are required for reconstructing a final super-resolution image. During this long image acquisition period, system drift should be tightly controlled to ensure the imaging quality; thus, several drift correction methods have been developed. However, it is still unclear whether the performance of these methods is able to ensure sufficient image quality in SRLM. Without a clear answer to this question, it is hard to choose a suitable drift correction method for a specific SRLM experiment. In this paper, we use both theoretical analysis and simulation to investigate the relationship among drift correction precision, localization precision, and position estimation precision. We propose a concept of relative localization precision for evaluating the effect of drift correction on imaging resolution, which would help to select an appropriate drift correction method for a specific experiment.
超分辨率定位显微镜(SRLM)成功突破了衍射极限,并将光学成像系统的分辨率提高了近一个数量级。然而,SRLM通常需要几分钟甚至更长时间来采集足够数量的图像帧,以重建最终的超分辨率图像。在这个漫长的图像采集期间,系统漂移必须得到严格控制,以确保成像质量;因此,已经开发了几种漂移校正方法。然而,这些方法的性能是否能够在SRLM中确保足够的图像质量仍不清楚。如果这个问题没有明确的答案,就很难为特定的SRLM实验选择合适的漂移校正方法。在本文中,我们使用理论分析和模拟来研究漂移校正精度、定位精度和位置估计精度之间的关系。我们提出了相对定位精度的概念,用于评估漂移校正对成像分辨率的影响,这将有助于为特定实验选择合适的漂移校正方法。