Takamasa Kudo
Takamasa Kudo
Bestätigte E-Mail-Adresse bei stanford.edu
Zitiert von
Zitiert von
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
Deep learning for cellular image analysis
E Moen, D Bannon, T Kudo, W Graf, M Covert, D Van Valen
Nature methods, 1-14, 2019
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
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
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
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
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
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, 2018
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), 1-7, 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), 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
A convex 3D deconvolution algorithm for low photon count fluorescence imaging
H Ikoma, M Broxton, T Kudo, G Wetzstein
Scientific reports 8 (1), 1-12, 2018
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, 2020
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
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
Techniques for studying decoding of single cell dynamics
S Jeknić, T Kudo, MW Covert
Frontiers in Immunology 10, 755, 2019
NF- B signaling dynamics is controlled by a dose-sensing autoregulatory loop
MM DeFelice, HR Clark, JJ Hughey, I Maayan, T Kudo, MV Gutschow, ...
Sci. Signal 12, 2019
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, 2019
The extraction of simple relationships in growth factor-specific multiple-input and multiple-output systems in cell-fate decisions by backward elimination PLS regression
Y Akimoto, K Yugi, S Uda, T Kudo, Y Komori, H Kubota, S Kuroda
PloS one 8 (9), e72780, 2013
Laguerre Filter Analysis with Partial Least Square Regression Reveals a Priming Effect of ERK and CREB on c-FOS Induction
T Kudo, S Uda, T Tsuchiya, T Wada, Y Karasawa, M Fujii, TH Saito, ...
PloS one 11 (8), e0160548, 2016
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