Author

Johanna V. Rahm

Goethe University FrankfurtORCID 0000-0001-9288-4672Unclaimed 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· 3 Research Focus:cell type annotation· 2 Approach:deep learning· 2 Approach:microscopy & imaging analysis· 2 Organism:mouse· 2 Research Focus:benchmarking· 1 Research Focus:cell signaling & trafficking· 1 Organism:human· 1

Frequent Co-Authors

Mike HeilemanniD· 2 shared Achilleas S. FrangakisiD· 1 shared Adrián JacoboiD· 1 shared Akilandeswari BalasubramanianiD· 1 shared Alexandra KamineriD· 1 shared Alexandra N. BirtasuiD· 1 shared Anja Seybert· 1 shared Ashwin BalakrishnaniD· 1 shared

Activity by Year

2024-2024 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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2 shared papersBiophysics

Mike HeilemannORCID

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3 papers

Recent·Most cited

Fast and long-term super-resolution imaging of ER nano-structural dynamics in living cells using a neural network

Johanna V. Rahm, Ashwin Balakrishnan, Maren H. Wehrheim, Alexandra Kaminer, Marius Glogger, Laurell F. Kessler, Matthias Kaschube, Hans‐Dieter Barth, Mike Heilemann

This paper enables long-term super-resolution imaging of ER dynamics in living cells using low irradiation and neural network-based image restoration.

Small Science · Nov 8, 2024Peer-reviewedBiophysics

Localization of Albumin with Correlative Super Resolution Light- and Electron Microscopy in the Kidney

Alexandra N. Birtasu, Utz H. Ermel, Johanna V. Rahm, Anja Seybert, Benjamin Flottmann, Mike Heilemann, Florian Grahammer, Achilleas S. Frangakis

This study localizes albumin in kidney tissue using correlative super-resolution light and electron microscopy to map its distribution and quantify concentration gradients across the filtration barrier.

Journal of Structural Biology X · Oct 21, 2024Peer-reviewedBiophysics

Robust virtual staining of landmark organelles

Ziwen Liu, Eduardo Hirata-Miyasaki, Soorya Pradeep, Johanna V. Rahm, Christian Foley, Talon Chandler, Ivan E. Ivanov, Hunter O. Woosley, Tiger Lao, Akilandeswari Balasubramanian, Rita Marreiros, Chad Liu, Manuel D. Leonetti, Ranen Aviner, Carolina Arias, , Shalin B. Mehta

The paper develops robust virtual staining methods for cellular landmarks using deep learning, showing improved performance across cell types and imaging conditions.

bioRxiv · May 31, 2024 · PreprintBioinformatics