TY  - GEN
AU  - Mandracchia, Biagio
AU  - Liu, Wenhao
AU  - Hua, Xuanwen
AU  - Forghani, Parvin
AU  - Lee, Soojung
AU  - Hou, Jessica
AU  - Nie, Shuyi
AU  - Xu, Chunhui
AU  - Jia, Shu
PY  - 2023
DO  - 10.1126/sciadv.adg9245
UR  - http://hdl.handle.net/20.500.12105/16508
AB  - Fluorescence microscopy is one of the most indispensable and informative driving forces for biological research, but the extent of observable biological phenomena is essentially determined by the content and quality of the acquired images. To address...
LA  - eng
PB  - American Association for the Advancement of Science (AAAS)
KW  - Algorithms
KW  - Electrons
KW  - Microscopy, Fluorescence
KW  - Image Processing, Computer-Assisted
KW  - Neural Networks, Computer
TI  - Optimal sparsity allows reliable system-aware restoration of fluorescence microscopy images
TY  - research article
ER  -