Abstract

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.

© 2022 Optica Publishing Group

Edge sparsity criterion for robust holographic autofocusing

Yibo Zhang, Hongda Wang, Yichen Wu, Miu Tamamitsu, and Aydogan Ozcan
Opt. Lett. 42(19) 3824-3827 (2017)

Ringing-free fast Fourier single-pixel imaging

Hao Peng, Shaoting Qi, Pan Qi, Lisha Qiu, Fengming Huang, Zibang Zhang, Guoan Zheng, and Jingang Zhong
Opt. Lett. 47(5) 1017-1020 (2022)

Fast and high-quality single-pixel imaging

Zixin Tang, Tianhang Tang, Xuelei Shi, Jie Chen, and Yiguang Liu
Opt. Lett. 47(5) 1218-1221 (2022)

Full-resolution, full-field-of-view, and high-quality fast Fourier single-pixel imaging

Jiaxiang Li, Kai Cheng, Shaoting Qi, Zibang Zhang, Guoan Zheng, and Jingang Zhong
Opt. Lett. 48(1) 49-52 (2023)

Single-pixel imaging interferometer based on the synthesis of spatial coherence

Masatoshi Imbe
Opt. Lett. 47(22) 5901-5904 (2022)