Steven Adie, Cornell University: Hybrid adaptive optics for faster, deeper, volumetric optical coherence microscopy

Abstract: Wavefront shaping and computed imaging methods have generated a lot of excitement in the optical imaging community because of their ability to compensate for sample-induced wavefront distortions, and enable high-resolution volumetric microscopy. In this talk I will present our recent work on ‘hybrid adaptive optics’ (hyAO), which is a new approach for optical coherence microscopy (OCM) that combines hardware adaptive optics and computational adaptive optics. HyAO enables the ‘work’ of image formation to be split in new ways between hardware and computation, allowing the strengths of one approach to compensate for the weaknesses of the other. Using hyAO we have significantly increased the usable depth range of OCM data, and suppressed the effects of multiple scattering and speckle in reconstructed OCM volumes. These capabilities are demonstrated via measurements in scattering phantoms, and time-lapse volumetric imaging in live 3D cell culture. Our results suggest that hyAO is a promising approach for expanding the spatiotemporal coverage of OCM, and enabling ultra-deep volumetric microscopy.

Refreshments will be served.