Author

Nicholas D. Crosbie

Melbourne WaterORCID 0000-0002-0319-4248Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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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

Aaron R. JexiD· 1 shared Anusuya WillisiD· 1 shared Arash ZamyadiiD· 1 shared Cheryl BertelkampiD· 1 shared Douglas R. BrumleyiD· 1 shared Filippo NelliiD· 1 shared Jonathan Schmidt· 1 shared Li GaoiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperMicrobiology

Aaron R. JexORCID

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2 papers

Recent·Most cited

BioinformaticsThe Journal of Open Source SoftwarePeer-reviewedJun 30, 2025

grepq: A Rust application that quickly filters FASTQ files by matching sequences to a set of regular expressions

Nicholas D. Crosbie

grepq filters FASTQ files using regular expressions efficiently, offering performance, scalability, and tools for variant enumeration and SQLite output.

1 citation

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

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