Author

Aaron Tan

National University of SingaporePrimary ORCID profile (0000-0002-3005-3774 · 3 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Aaron TaniD3 papers · National Cancer Centre Singapore

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:electronic health records· 1

Frequent Co-Authors

Cyril BařinkaiD· 1 shared Francesca ValleseiD· 1 shared Gunar FabigiD· 1 shared Hossein YazdkhastiiD· 1 shared Jake D. JohnstoniD· 1 shared Magdalena M. MagajiD· 1 shared Oliver B. ClarkeiD· 1 shared Robert KiewisziD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Cyril BařinkaORCID

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1 paper

Recent·Most cited

Accurate and fast segmentation of filaments and membranes in micrographs and tomograms with TARDIS

Robert Kiewisz, Gunar Fabig, Will Conway, Jake D. Johnston, V.A. Kostyuchenko, Aaron Tan, Cyril Bařinka, Oliver B. Clarke, Magdalena M. Magaj, Hossein Yazdkhasti, Francesca Vallese, Shee‐Mei Lok, Stefanie Redemann, Thomas Müller‐Reichert, Tristan Bepler

TARDIS is a deep learning framework that rapidly and accurately segments membranes and filaments in electron microscopy data, enabling large-scale biophysical analysis.

bioRxiv · Dec 19, 2024 · PreprintBioinformatics