Author

Damian E. Dalle Nogare

Human TechnopoleORCID 0000-0002-9615-9299Unclaimed 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· 4 Research Focus:benchmarking· 2 Research Focus:cell type annotation· 2 Approach:deep learning· 2 Approach:benchmark study· 1 Research Focus:clustering· 1 Approach:experimental assay· 1 Approach:microscopy & imaging analysis· 1

Frequent Co-Authors

Florian JugiD· 4 shared Joran DeschampsiD· 3 shared Juan Manuel BattagliottiiD· 3 shared Vera GalinovaiD· 3 shared Anna KreshukiD· 2 shared Carlos García-López-de-HaroiD· 2 shared Caterina Fuster-BarcelóiD· 2 shared Estibaliz Gómez‐de‐MariscaliD· 2 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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Focal author (center)Selected co-authorORCID co-authorUnlinked name

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4 shared papersBioinformatics

Florian JugORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

AI4Life Open Calls and Public Challenges: why, how, and what we have learned.

Vera Galinova, Mehdi Seifi, Beatriz Serrano‐Solano, Kristína Lidayová, Damian E. Dalle Nogare, Agustín Andrés Corbat, Joshua Talks, Edoardo Giacomello, Estibaliz Gómez‐de‐Mariscal, Mariana Ferreira, Caterina Fuster-Barceló, Juan Manuel Battagliotti, Carlos García-López-de-Haro, Benjamin Salmon, Melisande Croft, , J.R. Deschamps

The paper discusses AI4Life's Open Calls and Public Challenges, highlighting the state of bioimage analysis, tool availability, and the need for better data and infrastructure.

bioRxiv · Jul 30, 2026 · PreprintBioinformatics

FeatureForest: the power of foundation models, theusability of random forests

Mehdi Seifi, Damian E. Dalle Nogare, Juan Manuel Battagliotti, Vera Galinova, Ananya Kedige Rao, Pierre‐Henri Jouneau, Anwai Archit, Fynn Beuttenmueller, Dorothea Dörr, Mariana G. Ferreira, Caterina Fuster-Barceló, Carlos García-López-de-Haro, Estibaliz Gómez-de-Mariscal, Matthew Hartley, Ricardo Henriques, , Joran Deschamps

FeatureForest uses foundation model embeddings with random forests to enable fast, accurate segmentation of complex biological images with minimal labeling.

npj Imaging · Jul 8, 2025Peer-reviewedBioinformatics

MicroSplit: Semantic Unmixing of Fluorescent Microscopy Data

Ashesh Ashesh, Federico Carrara, Igor Zubarev, Vera Galinova, Melisande Croft, Melissa Pezzotti, Daozheng Gong, Francesca Casagrande, Elisa Colombo, Stefania Giussani, Elena Restelli, Eugenia Cammarota, Juan Manuel Battagliotti, Nikolai Klena, Moises Di Sante, , Florian Jug

MicroSplit uses deep learning to computationally unmix fluorescent microscopy data, enabling faster imaging and reduced photon exposure by separating multiple cellular structures from a single channel.

bioRxiv · Feb 10, 2025 · PreprintBioinformatics

Local DNA compaction creates TF-DNA clusters that enable transcription

Noémie M. Chabot, Ramya Purkanti, Alessia Del Panta Ridolfi, Damian E. Dalle Nogare, Haruka Oda, Hiroshi Kimurâ, Florian Jug, Alma Dal Co, Nadine L. Vastenhouw

This study shows that local DNA compaction forms TF-DNA clusters, which enable transcription by increasing TF binding sites and stabilizing the cluster.

bioRxiv · Jul 25, 2024 · PreprintCell Biology