Author

M. Neidlin

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 Biophysics· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Approach:benchmark study· 1 Research Focus:cell type annotation· 1 Organism:human· 1 Assay:imaging· 1 Assay:proteomics· 1 Research Focus:synaptic & neural circuits· 1

Frequent Co-Authors

U. Steinseifer· 3 shared S. Gross-Hardt· 2 shared A. Gruenwald· 1 shared C. Blum· 1 shared C. Winkler· 1 shared E. Chantzi· 1 shared G. Macheras· 1 shared J. Korte· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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3 shared papersBioengineering

U. Steinseifer

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Generic Framework for Quantifying the Influenceof the Mitral Valve on Ventricular Blood Flow

J.-N. Thiel, U. Steinseifer, M. Neidlin

The paper benchmarks mitral valve models to assess their impact on left ventricular flow features, finding that one-way FSI provides detailed flow but high costs, while a time-dependent porous medium model offers good results at lower costs.

International Journal for Numerical Methods in Biomedical Engineering · Jan 20, 2023Peer-reviewedBiophysics

An accelerated thrombosis model for computational fluid dynamics simulations in rotary blood pumps

C. Blum, S. Gross-Hardt, U. Steinseifer, M. Neidlin

The paper develops and tests a computationally efficient thrombus risk prediction model for rotary blood pumps, showing good correlation with clinical data.

bioRxiv · Aug 30, 2021Bioengineering

Intraventricular hemodynamics in pediatric patients with single right ventricles reveal deteriorated washout and low vortex for-mation times: An in silico study

A. Gruenwald, J. Korte, N. Wilmanns, C. Winkler, K. Linden, U. Herberg, S. Gross-Hardt, U. Steinseifer, M. Neidlin

This study uses CFD simulations to compare intraventricular flow in single right ventricles (SRV) and healthy left ventricles (LV), finding reduced vortex formation and washout in SRV.

bioRxiv · Dec 13, 2020 · PreprintBioengineering

An ex vivo tissue model of cartilage degradation suggests that cartilage state can be determined from secreted key protein patterns

M. Neidlin, E. Chantzi, G. Macheras, M. Gustafsson, L. G. Alexopoulos

The paper establishes an ex vivo cartilage model to identify protein patterns distinguishing healthy from degraded cartilage, finding that MMP9 and IFNG pairs can accurately classify samples.

bioRxiv · Feb 5, 2019Bioengineering