Author

Filippo Nelli

Monash UniversityORCID 0000-0003-4206-8516Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1 Assay:fluorescence / live-cell microscopy· 1 Assay:imaging· 1

Frequent Co-Authors

Arash ZamyadiiD· 2 shared Linda L. BlackalliD· 2 shared Aaron R. JexiD· 1 shared Anusuya WillisiD· 1 shared Benjamin P. HowdeniD· 1 shared Calum J. WalshiD· 1 shared Cheryl BertelkampiD· 1 shared Daniel Flanagan· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

Click any collaborator node to inspect or filter shared papers

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

Curved chords = mutual co-authorship

2 shared papersMicrobiology

Arash ZamyadiORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

MicrobiologybioRxivPreprintOct 15, 2025

Exploring use of ozone nanobubbles for removal of cyanobacteria and co-occurring antimicrobial resistance genes in water supply and reuse systems

Ushalini Saththiyananthan, Calum J. Walsh, Steven Newham…·Arash Zamyadi

This study evaluates ozone nanobubbles for removing cyanobacteria and antimicrobial resistance genes in water systems, showing improved performance over conventional ozonation in drinking water but lower efficiency in treated wastewater.

DOI 10.1101/2025.10.15.682302

experimental assay

𝕏 PostBluesky

MicrobiologyComputational and Structural Biotechnology ReportsPeer-reviewedAug 28, 2024

Machine learning driven image segmentation and shape clustering of algal microscopic images obtained from various water types

Filippo Nelli, Zongyuan Ge, Linda L. Blackall…·Arash Zamyadi

This study applies FastSAM for automated algal cell segmentation and clustering in water samples, showing high accuracy for single cells and varying clustering performance.

12 citations

imagingfluorescence / live-cell microscopy

𝕏 PostBluesky