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Biomedical applications such as pathology and hematology expect microscopes with high space-bandwidth product (SBP) which is difficult to achieve with conventional microscope setup. By applying a deep neural network, we demonstrate a high spacebandwidth product microscopic technique termed multi-angle super-resolution microscopy (MASRM) to achieve high-resolution imaging with the low-magnification objective. We design a multiple-branch deep residual network which extracts high-frequencydoi:10.1109/jphot.2020.2977888 fatcat:vssmd6psbfehtkqfrlctxhriqy