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Artificial intelligence for microscopy: What you should know, , and . Biochemical Society Transactions, 47 (4): 1029--1040 (July 2019)Content-aware image restoration: pushing the limits of fluorescence microscopy, , , , , , , , , and 11 other author(s). Nature Methods, (2018)NanoJ: a high-performance open-source super-resolution microscopy toolbox, , , , , , , , , and 5 other author(s). bioRxiv, (2018)PALM and STORM: Into large fields and high-throughput microscopy with sCMOS detectors, , and . Methods, (2015)Quantitative mapping and minimization of super-resolution optical imaging artifacts, , , , , , and . Nature Methods, 15 (4): 263--266 (April 2018)Super-resolution fight club: A broad assessment of 2D & 3D single-molecule localization microscopy software, , , , , , , , , and 10 other author(s). bioRxiv, (December 2018)ZeroCostDL4Mic: an open platform to simplify access and use of Deep-Learning in Microscopy, , , , , , , , , and 7 other author(s). bioRxiv, (March 2020)Fluctuation-Based Super-Resolution Traction Force Microscopy, , , , , , , and . Nano Letters, (March 2020)Fast live-cell conventional fluorophore nanoscopy with ImageJ through super-resolution radial fluctuations, , , , , and . Nature Communications, (August 2016)Automating multimodal microscopy with NanoJ-Fluidics, , , , , , , , , and 1 other author(s). Nature Communications, (2019)