2 papers
eess.IV2026
A Zero-Shot Deep Image Prior Framework for Denoising and Deconvolution in Fluorescence Microscopy
Xiangyu Qian, Jing Liu, Yunqing Tang +2
Fluorescence microscopy images are degraded by noise and diffraction-induced blur, which compromise structural fidelity and limit quantitative analysis. Supervised deep learning me…
physics.optics2026
Computational TIRF enables optical sectioning beyond the evanescent field for widefield fluorescence microscopy
Qiushi Li, Celi Lou, Yanfang Cheng +9
The resolving ability of widefield fluorescence microscopy is fundamentally limited by out-of-focus background owing to its low axial resolution, particularly for densely labeled b…