UNet-Att: a self-supervised denoising and recovery model for two-photon microscopic image

UNet-Att: a self-supervised denoising and recovery model for two-photon microscopic image

Abstract Two-photon microscopy is indispensable in cell and molecular biology for its high-resolution visualization of cellular and molecular dynamics. However, the inevitable low signal-to-noise conditions significantly degrade image quality, obscuring essential details and complicating morphologic...

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Bibliographic Details
Main Authors: Yuer Lu, Yongfa Ying, Chen Lin, Yan Wang, Jun Jin, Xiaoming Jiang, Jianwei Shuai, Xiang Li, Jinjin Zhong
Format: Article
Language:English
Published: Springer 2024-11-01
Series:Complex & Intelligent Systems
Subjects:
Two-photon microscopy image
Image denoising
Deep learning
Attention
Unet++
Online Access:https://doi.org/10.1007/s40747-024-01633-7
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