Author

K. F. Ziegler

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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Biophysics· 3

Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 2 Approach:experimental assay· 2 Approach:statistical model· 2 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:development & morphogenesis· 1 Assay:flow cytometry· 1

Frequent Co-Authors

C. S. Wright· 3 shared K. Joshi· 3 shared R. R. Biswas· 3 shared S. Iyer-Biswas· 3 shared S. Roy· 2 shared E. M. Spiers· 1 shared J. Stonecipher· 1 shared J. T. Crosser· 1 shared

Activity by Year

2023-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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3 shared papersBiophysics

C. S. Wright

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Scaling of stochastic growth and division dynamics: A comparative study of individual rod-shaped cells in the Mother Machine and SChemostat platforms

K. F. Ziegler, K. Joshi, C. S. Wright, S. Roy, W. Caruso, R. R. Biswas, S. Iyer-Biswas

The paper compares stochastic growth and division dynamics of bacterial cells in two microfluidic platforms, finding that mechanical confinement increases interdivision times but is compensated by division ratio adjustments.

bioRxiv · Nov 23, 2023Biophysics

Non-Markovian memory in a bacterium

K. Joshi, K. F. Ziegler, S. Roy, C. S. Wright, R. Gandhi, J. Stonecipher, R. R. Biswas, S. Iyer-Biswas

This study investigates whether bacterial cells retain memory of past environmental conditions across generations, finding non-Markovian memory in growth rates but not cell size.

bioRxiv · May 27, 2023 · PreprintBiophysics

Emergent Simplicities in Stochastic Intergenerational Homeostasis

K. Joshi, C. S. Wright, K. F. Ziegler, E. M. Spiers, J. T. Crosser, S. Eschker, R. R. Biswas, S. Iyer-Biswas

This paper identifies emergent simplicities in intergenerational homeostasis through experiments and theory, revealing a Markovian scaling law that determines stochastic homeostasis without fine-tuning parameters.

bioRxiv · Jan 18, 2023 · PreprintBiophysics