Author

F. C. Marques

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

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Research Focus:cell type annotation· 3 Organism:mouse· 3 Approach:statistical model· 3 Research Focus:clustering· 2 Approach:deep learning· 2 Research Focus:differential expression· 2 Assay:imaging· 2 Assay:bulk RNA-seq· 1

Frequent Co-Authors

D. Boaretti· 2 shared M. Walle· 2 shared R. Müller· 2 shared A. C. Scheuren· 1 shared A. Singh· 1 shared C. J. Collins· 1 shared C. Ledoux· 1 shared E. Wehrle· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersBioengineering

D. Boaretti

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3 papers

Recent·Most cited

Mechanostat parameters estimated from time-lapsed in vivo micro-computed tomography data of mechanically driven bone adaptation are logarithmically dependent on loading frequency

F. C. Marques, D. Boaretti, M. Walle, A. C. Scheuren, F. A. Schulte, R. Muller

This study estimates mechanostat parameters from time-lapsed micro-CT data of mouse vertebrae under mechanical loading, finding logarithmic relationships between (re)modeling parameters and loading frequency.

bioRxiv · Jan 7, 2023 · PreprintBioengineering

Trabecular bone remodeling in the ageing mouse: a micro-multiphysics agent-based in silico model using single-cell mechanomics

D. Boaretti, F. C. Marques, C. Ledoux, A. Singh, J. J. Kendall, E. Wehrle, G. A. Kuhn, Y. D. Bansod, F. Schulte, R. Müller

This paper develops an in silico model of trabecular bone remodeling in aging mice, showing how changes in OPG, RANKL, and Scl levels affect bone volume fraction.

bioRxiv · Nov 16, 2022 · PreprintBioengineering

Bone mechanoregulation allows subject-specific load estimation based on time-lapsed micro-CT and HR-pQCT in vivo

M. Walle, F. C. Marques, N. Ohs, M. Blauth, R. Müller, C. J. Collins

This paper develops a mechanoregulation-based load estimation algorithm (MR) to improve the accuracy of in vivo bone loading estimation using time-lapsed micro-CT and HR-pQCT data, outperforming existing methods in synthetic and clinical datasets.

bioRxiv · Feb 22, 2021Bioengineering