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Author Title Type [ Year(Desc)]
Filters: Author is Hobson, Chad M.  [Clear All Filters]
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.
2026
Hobson CM, Izumi K, Aaron JS, Bharathan NKrishnan, M. Ceriani F, Giang W, Ispizua JI, Kowalczyk AP, Lee RM, E. Morales A et al..  2026.  Adapting upright light sheet fluorescence microscopy for imaging at air-liquid interface. bioRxiv.
Miller DM, Elangovan A, Belcher HA, Lee RM, Hobson CM, Crosley K, Hart DM, Laverty BBannish E, Guthold M, Hudson NE.  2026.  BPS2026 – Real-time visualization and analysis of fibrin polymerization. Biophysical Journal. 125(4):227a-228a.