| A liquid-to-solid phase transition of the ALS protein FUS accelerated by disease mutation A Patel, HO Lee, L Jawerth, S Maharana, M Jahnel, MY Hein, S Stoynov, ... Cell 162 (5), 1066-1077, 2015 | 2442 | 2015 |
| Content-aware image restoration: pushing the limits of fluorescence microscopy M Weigert, U Schmidt, T Boothe, A Müller, A Dibrov, A Jain, B Wilhelm, ... Nature methods 15 (12), 1090-1097, 2018 | 961 | 2018 |
| Noise2self: Blind denoising by self-supervision J Batson, L Royer International Conference on Machine Learning, 524-533, 2019 | 623 | 2019 |
| Applications, promises, and pitfalls of deep learning for fluorescence image reconstruction C Belthangady, LA Royer Nature methods 16 (12), 1215-1225, 2019 | 405 | 2019 |
| In toto imaging and reconstruction of post-implantation mouse development at the single-cell level K McDole, L Guignard, F Amat, A Berger, G Malandain, LA Royer, ... Cell 175 (3), 859-876. e33, 2018 | 388 | 2018 |
| Democratising deep learning for microscopy with ZeroCostDL4Mic L von Chamier, RF Laine, J Jukkala, C Spahn, D Krentzel, E Nehme, ... Nature communications 12 (1), 2276, 2021 | 351 | 2021 |
| Adaptive light-sheet microscopy for long-term, high-resolution imaging in living organisms LA Royer, WC Lemon, RK Chhetri, Y Wan, M Coleman, EW Myers, ... Nature biotechnology 34 (12), 1267-1278, 2016 | 238 | 2016 |
| OpenCell: Endogenous tagging for the cartography of human cellular organization NH Cho, KC Cheveralls, AD Brunner, K Kim, AC Michaelis, P Raghavan, ... Science 375 (6585), eabi6983, 2022 | 213 | 2022 |
| Unraveling protein networks with power graph analysis L Royer, M Reimann, B Andreopoulos, M Schroeder PLoS computational biology 4 (7), e1000108, 2008 | 180 | 2008 |
| ClearVolume: open-source live 3D visualization for light-sheet microscopy LA Royer, M Weigert, U Günther, N Maghelli, F Jug, IF Sbalzarini, ... Nature methods 12 (6), 480-481, 2015 | 163 | 2015 |
| CLIJ: GPU-accelerated image processing for everyone R Haase, LA Royer, P Steinbach, D Schmidt, A Dibrov, U Schmidt, ... Nature methods 17 (1), 5-6, 2020 | 141 | 2020 |
| Gene mention normalization and interaction extraction with context models and sentence motifs J Hakenberg, C Plake, L Royer, H Strobelt, U Leser, M Schroeder Genome biology 9, 1-16, 2008 | 92 | 2008 |
| napari: a multi-dimensional image viewer for Python N Sofroniew, T Lambert, K Evans, J Nunez-Iglesias, G Bokota, P Winston, ... Zenodo, 2022 | 86 | 2022 |
| Isotropic reconstruction of 3D fluorescence microscopy images using convolutional neural networks M Weigert, L Royer, F Jug, G Myers International Conference on Medical Image Computing and Computer-Assisted …, 2017 | 83 | 2017 |
| Cellular aspect ratio and cell division mechanics underlie the patterning of cell progeny in diverse mammalian epithelia KL McKinley, N Stuurman, LA Royer, C Schartner, D Castillo-Azofeifa, ... Elife 7, e36739, 2018 | 81 | 2018 |
| DaXi—high-resolution, large imaging volume and multi-view single-objective light-sheet microscopy B Yang, M Lange, A Millett-Sikking, X Zhao, J Bragantini, S VijayKumar, ... Nature methods 19 (4), 461-469, 2022 | 66 | 2022 |
| Pycro-Manager: open-source software for customized and reproducible microscope control H Pinkard, N Stuurman, IE Ivanov, NM Anthony, W Ouyang, B Li, B Yang, ... Nature methods 18 (3), 226-228, 2021 | 65 | 2021 |
| Self-supervised deep learning encodes high-resolution features of protein subcellular localization H Kobayashi, KC Cheveralls, MD Leonetti, LA Royer Nature methods 19 (8), 995-1003, 2022 | 62 | 2022 |
| ZeroCostDL4Mic: an open platform to use Deep-Learning in Microscopy L Chamier, RF Laine, J Jukkala, C Spahn, D Krentzel, E Nehme, ... BioRxiv, 2020.03. 20.000133, 2020 | 53 | 2020 |
| GoGene: gene annotation in the fast lane C Plake, L Royer, R Winnenburg, J Hakenberg, M Schroeder Nucleic acids research 37 (suppl_2), W300-W304, 2009 | 47 | 2009 |
Gene MyersMax-Planck Institute for Molecular Cell Biology & GeneticsVerified email at mpi-cbg.de
