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Takamasa Kudo
Takamasa Kudo
Verified email at stanford.edu
Title
Cited by
Cited by
Year
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
9122019
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
5512016
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
2162017
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
1602017
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
1592013
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
1042018
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
1022021
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
932014
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
662016
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
552019
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
532019
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
402016
Techniques for studying decoding of single cell dynamics
S Jeknić, T Kudo, MW Covert
Frontiers in Immunology 10, 450218, 2019
372019
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
282019
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
282018
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
242014
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
182020
Dynamic allocation of computational resources for deep learning-enabled cellular image analysis with Kubernetes
D Bannon, E Moen, M Schwartz, E Borba, S Cui, K Huang, I Camplisson, ...
BioRxiv, 505032, 2018
112018
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
82021
A multiplexed epitope barcoding strategy that enables dynamic cellular phenotypic screens
T Kudo, K Lane, MW Covert
Cell Systems 13 (5), 376-387. e8, 2022
62022
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Articles 1–20