Author

Ian L. Pegg

Catholic University of AmericaORCID 0000-0002-1195-3013Unclaimed ORCID profile · follow to get notified of new preprints

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Ian L. Pegg1 paper · Catholic University of America

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Approach:deep learning· 1 Assay:imaging· 1 Approach:statistical model· 1 Research Focus:trajectory inference· 1

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Abhijit SarkariD· 1 shared Christopher J. TysoniD· 1 shared Santosh GaireiD· 1 shared

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Abhijit SarkarORCID

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BiophysicsBiophysical ReportsPeer-reviewedFeb 28, 2024

Video-Microscopy-Based Automated Trajectory Determination for High-Velocity, Densely Clustered, Indistinguishable Objects Moving in A Directed Force Field

Christopher J. Tyson, Santosh Gaire, Ian L. Pegg, Abhijit Sarkar

The paper introduces an automated trajectory tracking method for high-velocity, densely clustered, indistinguishable objects in a directed force field, demonstrating its effectiveness through simulations and experimental data.

1 citation

imagingdeep learning

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