| Deep learning for cellular image analysis E Moen, D Bannon, T Kudo, W Graf, M Covert, D Van Valen Nature methods 16 (12), 1233-1246, 2019 | 1136 | 2019 |
| Deep learning automates the quantitative analysis of individual cells in live-cell imaging experiments DA Van Valen, T Kudo, KM Lane, DN Macklin, NT Quach, MM DeFelice, ... PLoS computational biology 12 (11), e1005177, 2016 | 618 | 2016 |
| Competing memories of mitogen and p53 signalling control cell-cycle entry HW Yang, M Chung, T Kudo, T Meyer Nature 549 (7672), 404-408, 2017 | 246 | 2017 |
| Measuring signaling and RNA-seq in the same cell links gene expression to dynamic patterns of NF-κB activation K Lane, D Van Valen, MM DeFelice, DN Macklin, T Kudo, A Jaimovich, ... Cell systems 4 (4), 458-469. e5, 2017 | 171 | 2017 |
| Robustness and compensation of information transmission of signaling pathways S Uda, TH Saito, T Kudo, T Kokaji, T Tsuchiya, H Kubota, Y Komori, ... Science 341 (6145), 558-561, 2013 | 162 | 2013 |
| DeepCell Kiosk: scaling deep learning–enabled cellular image analysis with Kubernetes D Bannon, E Moen, M Schwartz, E Borba, T Kudo, N Greenwald, ... Nature methods 18 (1), 43-45, 2021 | 132 | 2021 |
| Live-cell measurements of kinase activity in single cells using translocation reporters T Kudo, S Jeknić, DN Macklin, S Akhter, JJ Hughey, S Regot, MW Covert Nature protocols 13 (1), 155-169, 2018 | 123 | 2018 |
| Controlling low rates of cell differentiation through noise and ultrahigh feedback R Ahrends, A Ota, KM Kovary, T Kudo, BO Park, MN Teruel Science 344 (6190), 1384-1389, 2014 | 101 | 2014 |
| Accurate cell tracking and lineage construction in live-cell imaging experiments with deep learning E Moen, E Borba, G Miller, M Schwartz, D Bannon, N Koe, I Camplisson, ... Biorxiv, 803205, 2019 | 72 | 2019 |
| Robustness of MEK-ERK dynamics and origins of cell-to-cell variability in MAPK signaling S Filippi, CP Barnes, PDW Kirk, T Kudo, K Kunida, SS McMahon, ... Cell reports 15 (11), 2524-2535, 2016 | 72 | 2016 |
| NF-κB signaling dynamics is controlled by a dose-sensing autoregulatory loop MM DeFelice, HR Clark, JJ Hughey, I Maayan, T Kudo, MV Gutschow, ... Science signaling 12 (579), eaau3568, 2019 | 60 | 2019 |
| A method to rapidly create protein aggregates in living cells Y Miyazaki, K Mizumoto, G Dey, T Kudo, J Perrino, L Chen, T Meyer, ... Nature Communications 7 (1), 11689, 2016 | 48 | 2016 |
| Techniques for studying decoding of single cell dynamics S Jeknić, T Kudo, MW Covert Frontiers in Immunology 10, 755, 2019 | 42 | 2019 |
| A convex 3D deconvolution algorithm for low photon count fluorescence imaging H Ikoma, M Broxton, T Kudo, G Wetzstein Scientific reports 8 (1), 11489, 2018 | 32 | 2018 |
| Escalating threat levels of bacterial infection can be discriminated by distinct MAPK and NF-κB signaling dynamics in single host cells K Lane, M Andres-Terre, T Kudo, DM Monack, MW Covert Cell Systems 8 (3), 183-196. e4, 2019 | 30 | 2019 |
| Trafficking of the myrosinase‐associated protein GLL 23 requires NUC/MVP 1/GOLD 36/ERMO 3 and the p24 protein CYB S Jancowski, A Catching, J Pighin, T Kudo, I Foissner, GO Wasteneys The Plant Journal 77 (4), 497-510, 2014 | 27 | 2014 |
| Engineered fluorescent E. coli lysogens allow live-cell imaging of functional prophage induction triggered inside macrophages K Bodner, AL Melkonian, AIM Barth, T Kudo, Y Tanouchi, MW Covert Cell Systems 10 (3), 254-264. e9, 2020 | 20 | 2020 |
| Cell-to-cell variability in Myc dynamics drives transcriptional heterogeneity in cancer cells C Liu, T Kudo, X Ye, K Gascoigne Cell Reports 42 (4), 2023 | 15 | 2023 |
| Sequential Optimal Experimental Design of Perturbation Screens Guided by Multi-modal Priors K Huang, R Lopez, JC Hütter, T Kudo, A Rios, A Regev International Conference on Research in Computational Molecular Biology, 17-37, 2024 | 13 | 2024 |
| Deep learning multi-shot 3D localization microscopy using hybrid optical–electronic computing H Ikoma, T Kudo, Y Peng, M Broxton, G Wetzstein Optics Letters 46 (24), 6023-6026, 2021 | 12 | 2021 |
