We develop technologies that can be widely adopted by biologists to improve image resolution, depth, and speed in vivo.
Optical methods for in vivo imaging
Imaging resolution in vivo is limited by the refractive index mismatch between biological samples and the media for which a microscope objective is designed. It is not possible to achieve diffraction-limited resolution without correcting for these sample-induced aberrations. Using mouse brain as our model system, we develop scattering-resistant adaptive optical methods to cancel out these aberrations and achieve high-resolution imaging in vivo.
Understand the input-output relationships in neural circuits
To understand a neural circuit, we need to know the information it receives, the transformation it applies to its inputs, and the information it outputs to the rest of the brain. We use a data-rich approach to elucidate circuit computations by systematically characterizing the representational properties of large numbers of boutons and neurons in the input and output layers of a neural circuit. Currently, we focus our efforts on the mouse primary visual cortex, where the tuning properties of inputs and outputs at depth can be characterized accurately only after the optical aberrations are corrected.