Author

Sara Romanzi

Italian Institute of TechnologyORCID 0000-0003-1638-6895Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Assay:imaging· 2 Organism:mouse· 2 Research Focus:spatial domain detection· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Approach:experimental assay· 1

Frequent Co-Authors

Jacopo BonatoiD· 2 shared Sebastiano CurreliiD· 2 shared Stefano PanzeriiD· 2 shared Tommaso FelliniD· 2 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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2 shared papersNeuroscience

Jacopo BonatoORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintMay 3, 2023

ASTRA: a deep learning algorithm for fast semantic segmentation of large-scale astrocytic networks

Jacopo Bonato, Sebastiano Curreli, Sara Romanzi…·Tommaso Fellin

ASTRA is a deep learning tool for automated segmentation of astrocytic calcium signals in two-photon imaging, outperforming existing methods and enabling large-scale analysis.

3 citations

mouseimaging

𝕏 PostBluesky

NeurosciencePLoS BiologyPeer-reviewedMar 3, 2022

Glial place cells: complementary encoding of spatial information in hippocampal astrocytes

Sebastiano Curreli, Jacopo Bonato, Sara Romanzi…·Tommaso Fellin

This study shows that astrocytic calcium signals in the hippocampus encode spatial information complementary to neurons, enhancing spatial position decoding.

66 citationstop 2%

mouseimaging

𝕏 PostBluesky