Author

Helena Miljkovic

École Polytechnique Fédérale de LausanneORCID 0000-0002-5211-040XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1 Biophysics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:imaging· 1 Research Focus:imputation· 1 Approach:microscopy & imaging analysis· 1 Research Focus:protein folding & dynamics· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Aleksandra RađenovićiD· 2 shared Jialin ShiiD· 2 shared Marcos PenedoiD· 2 shared Zahra AyariD· 2 shared Akhil Sai NaiduiD· 1 shared B. Drake· 1 shared Edoardo FattiiD· 1 shared Georg Ernest FantneriD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBiophysics

Aleksandra RađenovićORCID

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2 papers

Recent·Most cited

Non-contact direct sensing of material properties of biomolecular condensate using Scanning Ion Conductance Microscopy

Helena Miljkovic, Karl Pang-Yeo, Zahra Ayar, Edoardo Fatti, Akhil Sai Naidu, Jialin Shi, Marcos Penedo, Karsten Weis, Wayne Yang, Aleksandra Rađenović

This study uses Scanning Ion Conductance Microscopy to measure the material properties of biomolecular condensates, showing how pH and protein tags affect their stiffness over time.

bioRxiv · Jul 23, 2026 · PreprintBiophysics

Deep-learning-assisted SICM for enhanced real-time imaging of nanoscale biological dynamics

Zahra Ayar, Marcos Penedo, B. Drake, Jialin Shi, Samuel M. Leitão, Igor Krawczuk, Helena Miljkovic, Aleksandra Rađenović, Jelena Ban, Volkan Cevher, Georg Ernest Fantner

This paper introduces a deep-learning-assisted framework to enhance real-time SICM imaging by reducing scan time while maintaining image quality and structural integrity.

Small Methods · Oct 13, 2025Peer-reviewedBioengineering