Main Menu (Mobile)- Block
Main Menu - Block
Labs:
Project Teams:
2026
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.
2024
Johnson C, Guo M, Schneider MC, Su Y, Khuon S, Reiser N, Wu Y, La Riviere P, Shroff H.
2024. Phase diversity-based wavefront sensing for fluorescence microscopy.. Optica. 11(6):806-820.
2022
Hobson CM, Guo M, Vishwasrao HD, Wu Y, Shroff H, Chew T-L.
2022. Practical considerations for quantitative light sheet fluorescence microscopy.. Nature Methods. 19(12):1538-49.

]