Author

C. Qiao

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 3 Biophysics· 2 Cancer Biology· 1 Cell Biology· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 5 Assay:fluorescence / live-cell microscopy· 5 Research Focus:dimensionality reduction· 3 Approach:experimental assay· 3 Organism:human· 3 Assay:imaging· 3 Research Focus:imputation· 3 Organism:mouse· 3

Frequent Co-Authors

D. Li· 5 shared T. Jiang· 5 shared Y. Wang· 4 shared H. Chen· 3 shared H. Qiao· 3 shared Q. Dai· 3 shared Q. Meng· 3 shared J. Guo· 2 shared

Activity by Year

2019-2024 · peak 5/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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5 shared papersBiophysics

D. Li

Mutual co-authors in cluster

Author profile →

8 papers

Recent·Most cited

Fast adaptive super-resolution lattice light-sheet microscopy for rapid, long-term, near-isotropic subcellular imaging

C. Qiao, Z. Li, Z. Wang, Y. Lin, C. Liu, S. Zhang, Y. Liu, Y. Feng, X. Wang, X. Dong, J. Guo, T. Jiang, Q. Wang, Q. Dai, D. Li

This paper introduces Meta-rLLS-VSIM, a super-resolution microscopy technique that achieves near-isotropic resolution with reduced training time and data requirements.

bioRxiv · May 9, 2024Biophysics

Time-lapse Image Super-resolution Neural Network with Reliable Confidence Quantification for Optical Microscopy

C. Qiao, S. Liu, Y. Wang, W. Xu, X. Geng, T. Jiang, J. Zhang, Q. Meng, H. Qiao, D. Li, Q. Dai

This paper introduces a time-lapse image super-resolution neural network with confidence quantification for optical microscopy, improving temporal consistency and reliability.

bioRxiv · May 4, 2024 · PreprintBiophysics

Deep Learning-based Optical Aberration Estimation Enables Offline Digital Adaptive Optics and Super-resolution Imaging

C. Qiao, H. Chen, R. Wang, T. Jiang, Y. Wang, D. Li

This paper introduces SFE-Net and SFT-DFCAN to estimate and correct optical aberrations in live-cell imaging without additional hardware, achieving fast and accurate super-resolution.

bioRxiv · Oct 27, 2023Bioengineering

A novel MARV glycoprotein-specific antibody with potentials of broad-spectrum neutralization to filovirus

Y. Zhang, M. Zhang, H. Wu, X. Wang, H. Zheng, J. Feng, J. Wang, L. Luo, H. Xiao, C. Qiao, X. Li, Y. Zheng, W. J. Huang, Y. Wang, Y. Wang, , G. Chen

This study identifies a novel human antibody, AF-03, that targets MARV glycoprotein and shows neutralizing activity against MARV and related filoviruses.

bioRxiv · Sep 17, 2023Immunology

RAPSYN-Mediated Neddylation of BCR-ABL Alternatively Determines the Fate of Philadelphia Chromosome-positive Leukemia

m. Zhao, B. Dai, X. Li, Y. Zhang, C. Qiao, Y. Qin, Z. Li, Q. Li, S. Wang, Y. Yang, Y. Chen

This study identifies RAPSYN-mediated neddylation of BCR-ABL as a mechanism driving Ph+ leukemia progression and presents it as a therapeutic target.

bioRxiv · May 24, 2023Cancer Biology

Self-supervised denoising for structured illumination microscopy enables long-term super-resolution live-cell imaging

X. Chen, C. Qiao, T. Jiang, J. Liu, Q. Meng, Y. Zeng, H. Chen, H. Qiao, D. Li, J. Wu

The paper introduces a self-supervised denoising method for structured illumination microscopy that enables high-quality super-resolution imaging with reduced fluorescence.

bioRxiv · Apr 5, 2023 · PreprintCell Biology

Zero-shot learning enables instant denoising and super-resolution in optical fluorescence microscopy

C. Qiao, Y. Zeng, Q. Meng, X. Chen, H. Chen, T. Jiang, R. Wei, J. Guo, W. Fu, H. Lu, D. Li, Y. wang, H. Qiao, J. Wu, D. Li, Q. Dai

This paper introduces a zero-shot deep learning method for super-resolution microscopy that enhances resolution with less fluorescence and no training data.

bioRxiv · Feb 24, 2023Bioengineering

An engineered serum albumin-binding AAV9 capsid achieves improved liver transduction after intravenous delivery in mice

Q. Jin, C. Qiao, J. Li, J. Li, X. Xiao

This study engineers an AAV9 capsid to bind serum albumin, improving liver transduction in mice after intravenous delivery.

bioRxiv · Jul 8, 2019Bioengineering