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- W4224305049 abstract "Auto-focusing is an essential task for lensfree holographic microscopy, where the optimal focal plane needs to be determined from refocused Z-stack data. In this work, we propose a new auto-focusing criterion, nuclear norm of gradient (NoG), to enhance the accuracy of distance estimation for lensfree imaging. The NoG metric is composed of three parts: shape acquisition, gradient calculation, and gradient fusion. The experiment is conducted in a multi-height on-chip system, where 20 sets of samples including resolution target, stained slide, and label-free cell are employed. The experimental results demonstrate that the accuracy of the NoG metric on auto-focusing is superior to state-of-the-art metrics. Also, the experiment of a multi-layer target proves that the NoG metric has a good optical-sectioning capability. We believe that the NoG metric is expected to be a useful tool for lensfree on-chip microscopes." @default.
- W4224305049 created "2022-04-26" @default.
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- W4224305049 date "2022-09-01" @default.
- W4224305049 modified "2023-10-18" @default.
- W4224305049 title "Lensfree auto-focusing imaging using nuclear norm of gradient" @default.
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- W4224305049 doi "https://doi.org/10.1016/j.optlaseng.2022.107076" @default.
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