Author

T. C. Elston

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cell Biology· 3 Biophysics· 1

Signature Assays, Organisms & Methods

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Assay:imaging· 2 Approach:statistical model· 2 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Assay:fluorescence / live-cell microscopy· 1 Organism:human· 1

Frequent Co-Authors

B. Liu· 2 shared K. M. Hahn· 2 shared A. T. Nogueira· 1 shared A. Taylor· 1 shared B. Dong· 1 shared C. Welch· 1 shared D. G. Schaeffer· 1 shared D. J. Lew· 1 shared

Activity by Year

2017-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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2 shared papersCell Biology

B. Liu

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Author profile →

4 papers

Recent·Most cited

Actin nano-architecture of phagocytic podosomes

J. C. Herron, S. Hu, T. Watanabe, A. T. Nogueira, B. Liu, M. Kern, J. Arron, A. Taylor, M. Pablo, T.-L. Chew, T. C. Elston, K. M. Hahn

The paper uses advanced microscopy techniques to characterize the structure of phagocytic podosomes during frustrated phagocytosis, revealing their unique actin architecture and associated protein distributions.

bioRxiv · May 4, 2022Cell Biology

Deep learning enables structured illumination microscopy with low light levels and enhanced speed

L. Jin, B. Liu, F. Zhao, S. Hahn, B. Dong, R. Song, T. C. Elston, Y. Xu, K. M. Hahn

This paper uses deep learning to improve structured illumination microscopy, reducing image requirements and enabling low-light, high-speed super-resolution imaging.

Nature Communications · Apr 22, 2020Peer-reviewedBiophysics

Stochastic methods for inferring states of cell migration

R. J. Allen, C. Welch, N. Pankow, K. Hahn, T. C. Elston

This study develops stochastic computational tools to analyze cell migration states, revealing two distinct migration states in MEFs and HeLa cells, linked to RhoG and Rac1 activity.

bioRxiv · Jan 17, 2018Cell Biology

Principles that govern competition or co-existence in Rho-GTPase driven polarization

J.-g. Chiou, T. C. Elston, T. P. Witelski, D. G. Schaeffer, D. J. Lew

The paper derives a saturation rule that predicts whether Rho-GTPase systems will produce uni-polar or multi-polar outcomes based on competition timescales.

bioRxiv · Jun 9, 2017Cell Biology