Return
A hybrid deconvolution algorithm in three-dimensional fluorescence microscopy
DOI:10.1016/j.rineng.2026.112095.png)
Abstract
En 中文
• A hybrid deconvolution method for 3D fluorescence microscopy is proposed. • Effectively subtracts out-of-focus background prior to RL refinement. • The method minimizes defocus halos and improves structural fidelity. • Drives scattering background to near-zero in thick-tissue neuronal imaging.
Keywords:
Fluorescence microscopy
Nearest neighbors
Richardson–Lucy
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
7.9
Papers:
1.1W
Citations:
1.7W

