Author

Sheng Liu

University of New MexicoORCID 0000-0003-1225-0763Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Sheng Liu5 papers · Michigan State University

Biology Disciplines

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Biophysics· 2 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Approach:deep learning· 2 Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:imputation· 1

Frequent Co-Authors

Yiming LiiD· 2 shared Decheng WuiD· 1 shared F. E. BecerraiD· 1 shared Ivana ČavkaiD· 1 shared Jianlin Wang· 1 shared Jianwei CheniD· 1 shared Jianzheng FengiD· 1 shared Jonas RiesiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 15 mutual co-author links

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2 shared papersBiophysics

Yiming LiORCID

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3 papers

Recent·Most cited

BiophysicsPhysical Review APeer-reviewedFeb 13, 2026

Separation estimation of two freely rotating dipole emitters near the quantum limit

Sheng Liu, Sujeet Pani, Sajjad A. Khan…·Keith A. Lidke

This paper develops a method to estimate the separation of two freely rotating dipole emitters near the quantum limit using vectorial theory and a modified SLIVER technique.

1 citation

imagingdeep learning

𝕏 PostBluesky

BiophysicsPhotonics ResearchPeer-reviewedMar 6, 2025

Up sampled PSF enables high accuracy 3D super-resolution imaging with sparse sampling rate

Jianwei Chen, Wei Shi, Jianzheng Feng…·Yiming Li

The paper introduces an up-sampled PSF method for 3D super-resolution imaging with sparse sampling, achieving high accuracy while reducing data volume and expanding field of view.

2 citations

imagingdeep learning

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Molecular BiologyNature CommunicationsPeer-reviewedJun 6, 2022

Global fitting for high-accuracy multi-channel single-molecule localization

Yiming Li, Wei Shi, Sheng Liu…·Jonas Ries

This paper introduces globLoc, a GPU-based global fitting algorithm for multi-channel single-molecule localization, improving 3D precision and color assignment in SMLM.

48 citationstop 4%

statistical model

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