Biblio

Export 5 results:
Author Title Type [ Year(Asc)]
Filters: Author is Liu, Huafeng  [Clear All Filters]
2026
Wei M, Xu P, Liu J, Li X, Feng X, Zhu J, Dong R, Ran H, Zhu W, Han Y et al..  2026.  Self-supervised Internal Learning Enhances Isotropic Resolution for Three-dimensional Fluorescence Microscopy. bioRxiv.
2025
Guo M, Wu Y, Hobson CM, Su Y, Qian S, Krueger E, Christensen R, Kroeschell G, Bui J, Chaw M et al..  2025.  Deep learning-based aberration compensation improves contrast and resolution in fluorescence microscopyAbstract. Nature Communications. 16(1)
Hou X, Li Y, Hobson CM, Shroff H, Guo M, Liu H.  2025.  HD2Net: A deep learning framework for simultaneous denoising and deaberration in fluorescence microscopy. bioRxiv.
Hou X, Li Y, Hobson CM, Shroff H, Guo M, Liu H.  2025.  HD2Net: A Deep Learning Framework for Simultaneous Denoising and Deaberration in Fluorescence Microscopy. bioRxiv.
Chandler T, Guo M, Su Y, Chen J, Wu Y, Liu J, Agashe A, Fischer RS, Mehta SB, Kumar A et al..  2025.  Volumetric imaging of the 3D orientation of cellular structures with a polarized fluorescence light-sheet microscope.. Proc Natl Acad Sci . 122(8):e2406679122.