Author

Tasnuva Binte Mahbub

The University of Texas at ArlingtonORCID 0009-0002-2458-2757Unclaimed ORCID profile · follow to get notified of new preprints

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Bioengineering· 1

Signature Assays, Organisms & Methods

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Organism:C. elegans· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:imaging· 1

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Mark W. PellegrinoiD· 1 shared Mohammad Tanha· 1 shared Parsa SafaeianiD· 1 shared Rhythem Tahrin· 1 shared Salman SohrabiiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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1 shared paperBioengineering

Mark W. PellegrinoORCID

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1 paper

Recent·Most cited

BioengineeringBioengineeringPeer-reviewedOct 25, 2026

A Real-Time Automated Deep Learning Workflow for Non-invasive High-Magnification Imaging of C. elegans

Parsa Safaeian, Tasnuva Binte Mahbub, Rhythem Tahrin…·Salman Sohrabi

This paper develops a real-time deep learning workflow for non-invasive high-magnification imaging of C. elegans, enabling stable imaging across magnifications without immobilization.

DOI 10.3390/bioengineering13111261

C. elegansimaging

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