Author

Ines Lüchtefeld

ETH ZurichORCID 0000-0002-4171-7548Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:imaging· 2 Research Focus:cell signaling & trafficking· 1 Research Focus:cell-cell communication· 1 Research Focus:chromatin & epigenetic regulation· 1 Approach:contrastive learning· 1 Approach:experimental assay· 1 Research Focus:metabolism & bioenergetics· 1 Approach:microscopy & imaging analysis· 1

Frequent Co-Authors

Aline LinderiD· 1 shared Elaheh Zare‐EelanjeghiD· 1 shared Klaus EyeriD· 1 shared Luca Johannes SchlotheuberiD· 1 shared Michael VollenweideriD· 1 shared Renard TM LewisiD· 1 shared Richard Danis· 1 shared Sven Gutjahr· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

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2 papers

Recent·Most cited

BiophysicseLifePeer-reviewedJun 17, 2026

Quantifying Intracellular Mechanosensitive Response upon Spatially Defined Mechano-Chemical Triggering

Elaheh Zare‐Eelanjegh, Renard TM Lewis, Ines Lüchtefeld…·Tomaso Zambelli

This study uses FluidFM and FLIM to analyze how A-type and B-type lamins and microtubules respond to mechanical and chemical cues, revealing distinct roles in nuclear elasticity and viscous response.

DOI 10.7554/elife.107220.3

imagingexperimental assay

𝕏 PostBluesky

BioinformaticsLab on a ChipPeer-reviewedJan 1, 2025

High-Resolution Time-Lapse Imaging of Droplet-Cell Dynamics via Optimal Transport and Contrastive Learning

Luca Johannes Schlotheuber, Michael Vollenweider, Sven Gutjahr…·Klaus Eyer

This paper develops a method to track microfluidic droplets over time using optimal transport and contrastive learning, achieving high accuracy in tracking without labeled data.

DOI 10.1039/d5lc00351b

imagingcontrastive learning

𝕏 PostBluesky