Pape, Constantin

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17.12.2025

BioimageAIpub: a toolbox for AI-ready bioimaging data publishing

Authors Dvoretskii S, Archit A, Pape C, Moore J, Nolden M Journal Arxiv Citation arXiv:2512.15820. Abstract Modern bioimage analysis approaches are data hungry, making it necessary for researchers to scavenge data beyond those collected within their (bio)imaging facilities. In addition to scale, bioimaging datasets must be accompanied with suitable, high-quality
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17.12.2025

MedicoSAM: Robust Improvement of SAM for Medical Imaging

Authors Archit A, Freckmann L, Pape C Journal IEEE Transactions on Medical Imaging Citation IEEE Trans Med Imaging. 2025 Dec 17;PP. 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
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17.11.2025

CochleaNet: deep learning-based image analysis for cochlear connectomics and gene therapy

Authors Roos L, Meric Diniz A, Koert E, Schilling M, Uhl M, Thirumalai A, Aakhte M, Kusch K, Huisken J, Moser T, Pape C Journal BioRxiv Citation bioRxiv 2025.11.16.688700. Abstract With the emergence of gene and optogenetic therapies targeting deafness, the comprehensive analysis of the molecular anatomy and physiology of
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17.10.2025

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, Szabo CZK, Pena V, Pape C, Grubmüller H, Strenzke N, Brose N, Wichmann C, Preobraschenski J, Moser T Journal Sciende Advances Citation Sci Adv. 2025 Oct 17;11(42):eady8532. Abstract Hearing
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28.08.2025

SynapseNet: Deep Learning for Automatic Synapse Reconstruction

Authors Muth S, Moschref F, Freckmann L, Mutschall S, Hojas-Garcia-Plaza I, Bahr JN, Petrovic A, Do TT, Schwarze V, Archit A, Weyand K, Michanski S, Maus L, Imig C, Hintze A, Brose N, Wichmann C, Fernandez-Busnadiego R, Moser T, Rizzoli SO, Cooper BH, Pape C Journal Molecular Biology of the
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26.08.2025

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, Göttgens B, Ghazanfar S Journal Cell Reports Citation Cell Rep. 2025 Aug 26;44(8):116047. Abstract During gastrulation, mouse epiblast cells form the
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12.07.2025

Highly adaptable deep-learning platform for automated detection and analysis of vesicle exocytosis

Authors Chouaib AA, Chang HF, Khamis OM, Alawar N, Echeverry S, Demeersseman L, Elizarova S, Daniel JA, Tian Q, Lipp P, Fornasiero EF, Valitutti S, Barg S, Pape C, Shaib AH, Becherer U Journal Nature Communications Citation Nat Commun. 2025 Jul 12;16(1):6450. Abstract Activity recognition in live-cell imaging is labor-intensive
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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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