Opt Lett. 2022 Aug 1;47(15):3752-3755. doi: 10.1364/OL.463482.
Focusing objects accurately over short time scales is an essential and nontrivial task for a variety of microscopy applications. In this Letter, an autofocusing algorithm using pixel difference with the Tanimoto coefficient (PDTC) is described to predict the focus. Our method can robustly distinguish differences in clarity among datasets. The generated auto-focusing curves have extremely high sensitivity. A dataset of a defocused stack acquired by an Olympus microscope demonstrates the feasibility of our technique. This work can be applied in full-color microscopic imaging systems and is also valid for single-color imaging.
在短时间内准确聚焦是各种显微镜应用的基本且重要的任务。在这篇文章中，描述了一种使用像素差和 Tanimoto 系数（PDTC）的自动对焦算法来预测焦点。我们的方法可以稳健地区分数据集之间的清晰度差异。生成的自动对焦曲线具有极高的灵敏度。奥林巴斯显微镜采集的离焦堆叠数据集证明了我们技术的可行性。这项工作可应用于全彩显微镜成像系统，也适用于单色成像。
