Adaptive optics improves multiphoton super-resolution imaging

Three dimensional (3D) fluorescence microscopy has been essential for biological studies. It allows interrogation of structure and function at spatial scales spanning the macromolecular, cellular, and tissue levels. Critical factors to consider in 3D microscopy include spatial resolution, signal-to-noise (SNR), signal-to-background (SBR), and temporal resolution. Maintaining high quality imaging becomes progressively more difficult at increasing depth (where optical aberrations, induced by inhomogeneities of refractive index in the sample, degrade resolution and SNR), and in thick or densely labeled samples (where out-of-focus background can swamp the valuable, in-focus-signal from each plane). In this report, we introduce our new instrumentation to address these problems. A multiphoton structured illumination microscope was simply modified to integrate an adpative optics system for optical aberrations correction. Firstly, the optical aberrations are determined using direct wavefront sensing with a nonlinear guide star and subsequently corrected using a deformable mirror, restoring super-resolution information. We demonstrate the flexibility of our adaptive optics approach on a variety of semi-transparent samples, including bead phantoms, cultured cells in collagen gels and biological tissues. The performance of our super-resolution microscope is improved in all of these samples, as peak intensity is increased (up to 40-fold) and resolution recovered (up to 176±10 nm laterally and 729±39 nm axially) at depths up to ~250 μm from the coverslip surface.

[1]  Hari Shroff,et al.  Two-photon excitation improves multifocal structured illumination microscopy in thick scattering tissue , 2014, Proceedings of the National Academy of Sciences.

[2]  Hari Shroff,et al.  Resolution Doubling in Live, Multicellular Organisms via Multifocal Structured Illumination Microscopy , 2012, Nature Methods.

[3]  The Biologist's Toolbox , 2007 .

[4]  Tony Wilson,et al.  SUPER-RESOLUTION BY CONFOCAL FLUORESCENT MICROSCOPY , 1982 .

[5]  Hari Shroff,et al.  Microscopy in 3D: a biologist's toolbox. , 2011, Trends in cell biology.

[6]  W. Denk,et al.  Adaptive wavefront correction in two-photon microscopy using coherence-gated wavefront sensing , 2006, Proceedings of the National Academy of Sciences.

[7]  Hari Shroff,et al.  Two-photon instant structured illumination microscopy improves the depth penetration of super-resolution imaging in thick scattering samples. , 2014, Optica.

[8]  C. Kimmel,et al.  Stages of embryonic development of the zebrafish , 1995, Developmental dynamics : an official publication of the American Association of Anatomists.

[9]  Hari Shroff,et al.  Faster fluorescence microscopy: advances in high speed biological imaging. , 2014, Current opinion in chemical biology.

[10]  W. Webb,et al.  Nonlinear magic: multiphoton microscopy in the biosciences , 2003, Nature Biotechnology.

[11]  Robert S. Adelstein,et al.  Local Cortical Tension by Myosin II Guides 3D Endothelial Cell Branching , 2009, Current Biology.

[12]  D. Milkie,et al.  Rapid Adaptive Optical Recovery of Optimal Resolution over LargeVolumes , 2014, Nature Methods.

[13]  Wei Zheng,et al.  Adaptive optics improves multiphoton super-resolution imaging , 2017, Nature Methods.