Scientists propose zero-shot universal microscopic image AI processing method

Based on the noise model of microscopic images and the zero-sample learning theory, researchers led by Prof. Li Dong from the Institute of Biophysics of the Chinese Academy of Sciences, in collaboration with Prof. Dai Qionghai’s team from Tsinghua University, have proposed the zero-shot deconvolution networks (ZS-DeconvNet) and developed the corresponding one-click microscopic image processing software. Based on the noise model of microscopic images and the zero-sample learning theory, researchers led by Prof. Li Dong from the Institute of Biophysics of the Chinese Academy of Sciences, in collaboration with Prof. Dai Qionghai’s team from Tsinghua University, have proposed the zero-shot deconvolution networks (ZS-DeconvNet) and developed the corresponding one-click microscopic image processing software. Biotechnology Molecular & Computational biology Phys.org – latest science and technology news stories