Barentine Andrew E S, Balaji Ashwin, Moerner W E
Department of Chemistry, Stanford University, Stanford, California 94305, USA.
Biophysics PhD Program, Stanford University, Stanford, California 94305, USA.
bioRxiv. 2025 Aug 20:2025.08.14.670427. doi: 10.1101/2025.08.14.670427.
We present an efficient detection scheme for localization of Double Helix point-spread functions for 3D single-molecule localization microscopy or tracking. Using steerable filters, we extract both 2D position and lobe orientation (axial position) estimates using just 7 convolutions, orders of magnitude less than used in deep learning based approaches. For a complete SMLM analysis pipeline, we pair this detection with a fitter using an optimally parameterized double Gaussian model, and implement both as a plugin for the open source PYthon Microscopy Environment (PYME).
我们提出了一种高效的检测方案，用于在三维单分子定位显微镜或跟踪中定位双螺旋点扩展函数。使用可控滤波器，我们仅通过7次卷积就提取了二维位置和叶方向（轴向位置）估计值，这比基于深度学习的方法所使用的卷积次数少几个数量级。对于完整的单分子定位显微镜（SMLM）分析管道，我们将此检测与使用最优参数化双高斯模型的拟合器配对，并将两者都实现为开源Python显微镜环境（PYME）的插件。
