Author

Aleida Ascenzi

Sapienza University of RomePrimary ORCID profile (0009-0001-3056-2966 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Aleida AscenziiD1 paper · Sapienza University of Rome

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Assay:imaging· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Christian PylatiukiD· 1 shared Emanuele VaccarellaiD· 1 shared Hossein ShiraliiD· 1 shared Lorenz WührliD· 1 shared Nathalie KlugiD· 1 shared Nils Beyer· 1 shared Noemi Di LorenzoiD· 1 shared Pierfilippo CerrettiiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Christian PylatiukORCID

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1 paper

Recent·Most cited

InsectMorphoAI: A Deep Learning-Based Software for Automated Estimation of Insect Length, Volume, and Biomass

Hossein Shirali, Aleida Ascenzi, Lorenz Wührl, Nils Beyer, Noemi Di Lorenzo, Emanuele Vaccarella, Nathalie Klug, Rudolf Meier, Pierfilippo Cerretti, Christian Pylatiuk

InsectMorphoAI automates insect length, volume, and biomass estimation from 2D images using two methods, achieving high accuracy and enabling efficient ecological research.

Ecological Informatics · May 25, 2026Peer-reviewedBioinformatics