【生物樣本】利用深度學習去除「低溫電子顯微鏡」雜訊與重建缺失遺漏

 【生物樣本】利用深度學習去除「低溫電子顯微鏡」雜訊與重建缺失遺漏

 文章出處  

Nature Communications 

 

 原文標題  

A deep learning method for simultaneous denoising and missing wedge reconstruction in cryogenic electron tomography 

 

 文章序號  

6326 

 

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