Slicing Network for Wide-Field Fluorescence Image Based on the Improved U-Net Model.

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Tác giả: Meiling Guan, Meiqi Li, Wei Ren, Mingjian Sun, Peng Xi, Shiqing Yao

Ngôn ngữ: eng

Ký hiệu phân loại:

Thông tin xuất bản: United States : Microscopy research and technique , 2025

Mô tả vật lý:

Bộ sưu tập: NCBI

ID: 215826

Fluorescence imaging stands as a pivotal component in biomedical research, requiring the elimination of out-of-focus background noise resulting from wide-field volumetric illumination of the whole field-of-view and scattering within thick biological tissues. Traditional methods struggle to effectively address varying degrees of defocusing in fluorescence images. This study introduces the utilization of upU-Net, 3D U-Net, and 3D upU-Net as defocusing networks tailored for 2D and 3D wide-field fluorescence images, yielding notable enhancements. These advancements facilitate more economically viable confocal microscopy, delivering significant advantages to biologists presently utilizing wide-field fluorescence microscopy.
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