Author

Ruqi Huang

Tsinghua Shenzhen International Graduate SchoolORCID 0000-0001-5942-3671Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:contrastive learning· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Organism:mouse· 1

Frequent Co-Authors

Danheng GaoiD· 1 shared Fengdi ZhangiD· 1 shared Guoxun ZhangiD· 1 shared Haoran MengiD· 1 shared Jiamin WuiD· 1 shared Jingyu XieiD· 1 shared Juntao Tony GaoiD· 1 shared Meiqian Xin· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperBioinformatics

Danheng GaoORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintDec 4, 2025

Rapid robust high-fidelity 3D neuronal extraction from multi-view projections

Yujia Chen, Guoxun Zhang, Mingrui Wang…·Qionghai Dai

The paper introduces DeepWonder3D, a pipeline for rapid and robust 3D neuronal extraction from multi-view projections, achieving high fidelity and efficiency in calcium dynamics analysis.

DOI 10.64898/2025.12.01.691740

mouseimaging

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BioinformaticsbioRxivPreprintApr 8, 2025

Self-contrastive learning enables interference-resilient and generalizable fluorescence microscopy signal detection without interference modeling

Fengdi Zhang, Ruqi Huang, Meiqian Xin…·Xiangyang Ji

This paper introduces DEPAF, a self-contrastive learning method for fluorescence microscopy signal detection that is interference-resilient and generalizable without requiring interference modeling.

1 citation

imagingcontrastive learning

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