Author

A. Karlas

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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Organism:human· 3 Assay:imaging· 3 Approach:experimental assay· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:host-pathogen & immune response· 1 Research Focus:metabolism & bioenergetics· 1 Research Focus:synaptic & neural circuits· 1

Frequent Co-Authors

H.-H. Eckstein· 3 shared M. Kallmayer· 3 shared N.-A. Fasoula· 3 shared V. Ntziachristos· 3 shared A. B. Milik· 1 shared C. Marr· 1 shared F. J. Theis· 1 shared H. He· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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3 shared papersBioengineering

H.-H. Eckstein

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3 papers

Recent·Most cited

Fast Optoacoustic Mesoscopy of Microvascular Endothelial Dysfunction in Cardiovascular Risk and Disease

H. He, A. Karlas, N.-A. Fasoula, M. Kallmayer, J. Aguirre, H.-H. Eckstein, V. Ntziachristos

This study introduces FP-RSOM to visualize and quantify skin microvascular endothelial dysfunction, showing higher sensitivity than existing methods in detecting cardiovascular risk factors.

bioRxiv · Sep 28, 2021Bioengineering

Multicompartmental Non-invasive Sensing of Postprandial Lipemia in Humans with Multispectral Optoacoustic Tomography

N.-A. Fasoula, A. Karlas, M. Kallmayer, A. B. Milik, J. Pelisek, H.-H. Eckstein, M. Klingenspor, V. Ntziachristos

This study uses multispectral optoacoustic tomography to non-invasively measure postprandial lipemia in humans, showing significant lipid increases in various tissues after a high-fat meal.

bioRxiv · Jun 25, 2020Bioengineering

A Sparse Deep Learning Approach for Automatic Segmentation of Human Vasculature in Multispectral Optoacoustic Tomography

N. K. Chlis, A. Karlas, N.-A. Fasoula, M. Kallmayer, H.-H. Eckstein, F. J. Theis, V. Ntziachristos, C. Marr

This paper introduces a sparse UNET model for automatic vascular segmentation in MSOT images, achieving high accuracy and reducing manual effort.

bioRxiv · Nov 7, 2019Bioengineering