Author

C. Forro

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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Bioengineering· 3

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Approach:experimental assay· 2 Organism:human· 2 Research Focus:benchmarking· 1 Organism:C. elegans· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1

Frequent Co-Authors

S. J. Ihle· 2 shared A. Bonnin· 1 shared A. F. McGuire· 1 shared A. Liu· 1 shared A. M. Reichmuth· 1 shared A. Oxenius· 1 shared A. Pawlosky· 1 shared B. Cui· 1 shared

Activity by Year

2019-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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2 shared papersBioengineering

S. J. Ihle

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Author profile →

3 papers

Recent·Most cited

Nanocrown electrodes for reliable and robust intracellular recording of cardiomyocytes and cardiotoxicity screening

Z. Jahed, Y. Yang, C.-T. Tsai, E. P. Foster, A. F. McGuire, H. Yang, A. Liu, C. Forro, Z. Yan, X. Jiang, M.-T. Zhao, W. Zheng, X. Li, T. Li, A. Pawlosky, , B. Cui

This paper develops nanocrown electrodes for reliable intracellular recording of cardiomyocytes and demonstrates their use in cardiotoxicity screening.

bioRxiv · Sep 28, 2021 · PreprintBioengineering

Nanoconfinement of Microvilli Alters Gene Expression and Boosts T cell Activation

M. Aramesh, D. Stoycheva, I. Sandu, S. J. Ihle, T. Zund, J.-Y. Shiu, C. Forro, M. Asghari, M. Bernero, S. Lickert, A. Oxenius, V. Vogel, E. Klotzsch

This study shows that nanoporous surfaces enhance T cell activation by altering gene expression and promoting microvilli formation through size-dependent protein segregation.

bioRxiv · Apr 19, 2021Bioengineering

UDCT: Unsupervised data to content transformation with histogram-matching cycle-consistent generative adversarial networks

S. J. Ihle, A. M. Reichmuth, S. Girardin, H. Han, F. Stauffer, A. Bonnin, M. F. M. Stampanoni, J. Voros, C. Forro

This paper introduces an unsupervised image segmentation method using cycleGAN-inspired techniques and benchmarks it against a supervised network on cell-counting tasks.

bioRxiv · Mar 1, 2019Bioengineering