Publications

Acquisition of Magnetic Resonance Imaging (MRI) scans can be accelerated by under-sampling in k-space (i.e., the Fourier domain). In this paper, we consider the problem of optimizing the sub-sampling pattern in a data-driven fashion.

We recently introduced coherent holographic image reconstruction by phase transfer (CHIRPT), a single-pixel imaging method that significantly improves the depth of field in fluorescence microscopy and enables holographic refocusing of fluorescent light.

In this Letter, an in-line, compact, and efficient quantitative pulse compensation and measurement scheme is demon- strated. This simple system can be readily deployed in multiphoton imaging systems and advanced manufacturing where multiphoton processes are exploited.

Tissue scattering and absorption impact the excitation and emission light in different ways for multiphoton imaging. The collected fluorescence includes both ballistic photons and scattered photons whereas multiphoton excited signal within the focal volume is mostly generated by ballistic photons.

Programmable, two-dimensional, spatial frequency modulation linear and non- linear imaging combined with a novel and remarkably simple, in-situ quantitative pulse compensation and measurement scheme is demonstrated for the first time.

We explored the use of convolutional neural networks to segment 3D vessels within volumetric in vivo images acquired by multiphoton microscopy.

The light attenuation in biological tissues is a main issue in deep imaging. While the signal from the focal volume in multiphoton imaging is mostly generated by ballistic photons, both ballistic and scattered fluorescence photons contribute to the detected signal.

Magnetically sensitive ion channels would allow researchers to better study how specific brain cells affect behavior in freely moving animals; however, recent reports of “magnetogenetic” ion channels based on biogenic ferritin nanoparticles have been questioned.

Studies of amnesic patients and animal models support a systems consolidation model, which posits that explicit memories formed in hippocampus are transferred to cortex over time. Prelimbic cortex is required for the expression of learned fear memories from hours after learning until weeks later.