Author

S. L. Nickels

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· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Research Focus:drug response / drug discovery· 2 Approach:experimental assay· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Organism:human· 1 Assay:organoid / primary culture· 1

Frequent Co-Authors

J. C. Schwamborn· 2 shared A. Palojarvi· 1 shared A. S. Monzel· 1 shared A. Zagare· 1 shared F. Azuaje· 1 shared H. T. H. Nguyen· 1 shared I. Rosety· 1 shared J. Kettunen· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersBioengineering

J. C. Schwamborn

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Author profile →

2 papers

Recent·Most cited

Highly scalable and standardized organ-on-chip platform with TEER for biological barrier modeling

H. T. H. Nguyen, S.-L. Rissanen, M. Peltokangas, T. Laakkonen, J. Kettunen, L. Barthod, R. Sivakumar, A. Palojarvi, P. Junttila, J. Talvitie, M. Bassis, S. L. Nickels, J. C. Schwamborn, S. Mosser, P. Singh

The paper introduces a scalable organ-on-chip platform for high-throughput in vitro assays, demonstrating its use in modeling biological barriers and drug testing.

bioRxiv · Aug 2, 2023Bioengineering

Machine learning-assisted neurotoxicity prediction in human midbrain organoids

A. S. Monzel, K. Hemmer, T. Kaoma Mukendi, P. Lucarelli, I. Rosety, A. Zagare, S. Bolognin, P. Antony, S. L. Nickels, R. Krueger, F. Azuaje, J. C. Schwamborn

The paper develops a midbrain organoid system to model Parkinson's disease and introduces a machine learning pipeline for neurotoxicity prediction using high-content imaging data.

bioRxiv · Sep 19, 2019Pharmacology & Toxicology