Pape, Constantin

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11.05.2025

Structure and function of otoferlin, a synaptic protein of sensory hair cells essential for hearing

Authors Chen H, Cretu C, Trebilcock A, Evdokimova N, Babai N, Feldmann L, Leidner F, Benseler F, Mutschall S, Esch K, Kibédi CZ, Pena V, Pape C, Grubmüller H, Strenzke N, Brose N, Wichmann C, Preobraschenski J, Moser T Journal BioRxiv Citation bioRxiv 2025.05.10.653085 Abstract Our sense of hearing relies
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08.04.2025

Stamped counting for biomedical images

Authors Jeremias J, Pape C Journal Methods in Microscopy Citation Methods in Microscopy, 2025. Abstract Counting objects is an important task in biomedical image analysis, for example to count cells in microscopy or microbial colonies in laboratory applications. Similar to most image analysis tasks, modern approaches to counting rely on
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25.03.2025

Tiling artifacts and trade-offs of feature normalization in the segmentation of large biological images

Authors Buglakova E, Archit A, D’Imprima E, Mahamid J, Pape C, Kreshuk A Journal Arxiv Citation arXiv:2503.19545. Abstract Segmentation of very large images is a common problem in microscopy, medical imaging or remote sensing. The problem is usually addressed by sliding window inference, which can theoretically lead to seamlessly stitched
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03.03.2025

A correlative workflow streamlines synaptic imaging by cryo-electron tomography

Authors Do TT, Siegert A, Domart F, Hahn F, Zeising C, Muth SM, Pape C, Kusch K, Dresbach T, Rizzoli S, Petrovic A, Fernandez-Busnadiego R Journal BioRxiv Citation bioRxiv 2025.03.01.640558. Abstract Despite decades of intense research, the molecular organization of the synapse is not well understood. To address this issue,
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12.02.2025

Segment Anything for Microscopy

Authors Archit A, Freckmann L, Nair S, Khalid N, Hilt P, Rajashekar V, Freitag M, Teuber C, Buckley G, von Haaren S, Gupta S, Dengel A, Ahmed S, Pape C Journal Nature Methods Citation Nat Methods. 2025 Feb 12. Abstract Accurate segmentation of objects in microscopy images remains a bottleneck
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20.01.2025

MedicoSAM: Towards foundation models for medical image segmentation

Authors Archit A, Freckmann L, Pape C Journal Arxiv Citation arXiv:2501.11734. Abstract Medical image segmentation is an important analysis task in clinical practice and research. Deep learning has massively advanced the field, but current approaches are mostly based on models trained for a specific task. Training such models or adapting
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19.12.2024

A Spatiotemporal Atlas of Mouse Gastrulation and Early Organogenesis to Explore Axial Patterning and Project In Vitro Models onto In Vivo Space

Authors Harland LTG, Lohoff T, Koulena N, Pierson N, Pape C, Ameen F, Griffiths J, Theeuwes B, Wilson NK, Kreshuk A, Reik W, Nichols J, Cai L, Marioni JC, Gottgens B, Ghazanfar S Journal BioRxiv Citation bioRxiv 2024.12.12.628063. Abstract At the onset of murine gastrulation, pluripotent epiblast cells migrate through
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16.12.2024

Wrapped up: advancements in volume electron microscopy and application in myelin research

Authors Schadt LC, Ruhwedel T, Pape C, Sasmita AO, Steyer AM, Möbius W Journal Methods in Microscopy Citation Methods in Microscopy. 2024. Abstract The three-dimensional visualization of cellular architecture by volume electron microscopy (vEM) has reignited interest in morphological descriptions of complex tissue. At the same time, the increasing availability
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02.12.2024

SynapseNet: Deep Learning for Automatic Synapse Reconstruction

Authors Muth S, Moschref F, Freckmann L, Mutschall S, Garcia-Plaza I, Bahr JN, Petrovic A, Do TT, Schwarze V, Archit A, Weyand K, Michanski S, Maus L, Imig C, Brose N, Wichmann C, Fernandez-Busnadiego R, Moser T, Rizzoli SO, Cooper BH, Pape C Journal BioRxiv Citation bioRxiv 2024.12.02.626387. Abstract Electron
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09.10.2024

One-step nanoscale expansion microscopy reveals individual protein shapes

Authors Shaib AH, Chouaib AA, Chowdhury R, Altendorf J, Mihaylov D, Zhang C, Krah D, Imani V, Spencer RKW, Georgiev SV, Mougios N, Monga M, Reshetniak S, Mimoso T, Chen H, Fatehbasharzad P, Crzan D, Saal KA, Alawieh MM, Alawar N, Eilts J, Kang J, Soleimani A, Müller M, Pape
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