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Abstract
Specimen-induced aberration has been a major factor limiting the imaging depth of single-molecule localization microscopy (SMLM). Here, we report the application of label-free wavefront sensing adaptive optics to SMLM for deep-tissue super-resolution imaging. The proposed system measures complex tissue aberrations from intrinsic reflectance rather than fluorescence emission and physically corrects the wavefront distortion more than three-fold stronger than the previous limit. This enables us to resolve sub-diffraction morphologies of cilia and oligodendrocytes in whole zebrafish as well as dendritic spines in thick mouse brain tissues at the depth of up to 102 μm with localization number enhancement by up to 37 times and localization precision comparable to aberration-free samples. The proposed approach can expand the application range of SMLM to whole zebrafish that cause the loss of localization number owing to severe tissue aberrations.
Specimen-induced aberration can limit the imaging depth in single-molecule localization microscopy (SMLM). Here, the authors apply label-free wavefront sensing adaptive optics to SMLM for deep-tissue super-resolution imaging.
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1 Institute for Basic Science, Center for Molecular Spectroscopy and Dynamics, Seoul, Republic of Korea (GRID:grid.410720.0) (ISNI:0000 0004 1784 4496); Korea University, Department of Physics, Seoul, Republic of Korea (GRID:grid.222754.4) (ISNI:0000 0001 0840 2678)
2 Korea University, Department of Chemistry, Seoul, Republic of Korea (GRID:grid.222754.4) (ISNI:0000 0001 0840 2678)
3 Institute for Basic Science, Center for Molecular Spectroscopy and Dynamics, Seoul, Republic of Korea (GRID:grid.410720.0) (ISNI:0000 0004 1784 4496)
4 Korea University, Department of Biomedical Sciences, Ansan, Republic of Korea (GRID:grid.222754.4) (ISNI:0000 0001 0840 2678)
5 The Catholic University of Korea, Department of Medical Life Sciences, College of Medicine, Seoul, Republic of Korea (GRID:grid.411947.e) (ISNI:0000 0004 0470 4224); The Catholic University of Korea, Department of Biomedicine and Health Sciences, Seoul, Republic of Korea (GRID:grid.411947.e) (ISNI:0000 0004 0470 4224)