Author

F. Güder

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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Assay:electrophysiology· 3 Approach:experimental assay· 3 Organism:plant (other)· 3 Research Focus:cell type annotation· 2 Research Focus:differential expression· 2

Frequent Co-Authors

P. Coatsworth· 3 shared T. Asfour· 3 shared Y. Cotur· 3 shared L. Gonzalez-Macia· 2 shared S. Olenik· 2 shared A. Naik· 1 shared A. Silva-Pinto Collins· 1 shared D.-Y. Chao· 1 shared

Activity by Year

2023-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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3 shared papersBioengineering

P. Coatsworth

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Author profile →

3 papers

Recent·Most cited

Plant-on-a-chip: continuous, soilless electrochemical monitoring of salt uptake and tolerance among different genotypes of tomato

P. Coatsworth, Y. Cotur, T. Asfour, Z. Zhou, J. M. R. Flauzino, T. O. Bozkurt, F. Güder

This paper introduces TETRIS, an electrochemical platform to monitor NaCl uptake in tomato seedlings, revealing differences in salt tolerance among genotypes and growth conditions.

Sensors & Diagnostics · Jan 1, 2024Peer-reviewedBioengineering

Facilitating Electrochemical Lateral Flow Assay using NFC-Enabled Potentiostat and Nitrocellulose-based Metal Electrodes

L. Gonzalez-Macia, Y. Li, K. Zhang, E. Nunez-Bajo, G. Barandun, Y. Cotur, T. Asfour, S. Olenik, P. Coatsworth, J. Herrington, F. Güder

The paper develops a digital diagnostics platform using NFC-enabled potentiostat and nitrocellulose-based electrodes for electrochemical detection of pathogens at the point-of-need.

bioRxiv · Mar 9, 2023 · PreprintBioengineering

Time-Resolved Chemical Phenotyping of Whole Plant Roots with Printed Electrochemical Sensors and Machine Learning

P. Coatsworth, Y. Cotur, A. Naik, T. Asfour, A. Silva-Pinto Collins, S. Olenik, L. Gonzalez-Macia, T. Bozkurt, D.-Y. Chao, F. Güder

This paper introduces TETRIS, a real-time chemical phenotyping platform for monitoring root environment chemistry in plants, and uses machine learning to predict ion uptake rates.

bioRxiv · Mar 9, 2023 · PreprintBioengineering