Racah Institute of Physics, The Hebrew University, 91904, Jerusalem, Israel.
Sci Rep. 2020 Oct 1;10(1):16212. doi: 10.1038/s41598-020-72812-y.
Single-molecule-localization-microscopy (SMLM) enables superresolution imaging of biological samples down to ~ 10-20 nm and in single molecule detail. However, common SMLM reconstruction largely disregards information embedded in the entire intensity trajectories of individual emitters. Here, we develop and demonstrate an approach, termed time-correlated-SMLM (tcSMLM), that uses such information for enhancing SMLM reconstruction. Specifically, tcSMLM is shown to increase the spatial resolution and fidelity of SMLM reconstruction of both simulated and experimental data; esp. upon acquisition under stringent conditions of low SNR, high acquisition rate and high density of emitters. We further provide detailed guidelines and optimization procedures for effectively applying tcSMLM to data of choice. Importantly, our approach can be readily added in tandem to multiple SMLM and related superresolution reconstruction algorithms. Thus, we expect that our approach will become an effective and readily accessible tool for enhancing SMLM and superresolution imaging.
单分子定位显微镜 (SMLM) 可将生物样本的超分辨率成像分辨率降低到约 10-20nm,并实现单分子细节成像。然而,常见的 SMLM 重建在很大程度上忽略了单个发射器整个强度轨迹中嵌入的信息。在这里,我们开发并展示了一种方法,称为时间相关 SMLM(tcSMLM),该方法利用这些信息来增强 SMLM 重建。具体来说,tcSMLM 被证明可以提高模拟和实验数据的 SMLM 重建的空间分辨率和保真度;特别是在低 SNR、高采集率和发射器密度高的严格条件下采集时。我们进一步为有效地将 tcSMLM 应用于所选数据提供了详细的指南和优化程序。重要的是,我们的方法可以很容易地与多种 SMLM 和相关的超分辨率重建算法结合使用。因此,我们预计我们的方法将成为增强 SMLM 和超分辨率成像的有效且易于使用的工具。