Publications

aeXiv

In this work, we propose a novel volumetric Convolutional Neural Network framework that takes advantage of the full-resolution 3D spatial structure of resting-state functional MRI data and fits non-linear predictive models.

Applied Optics

DOI: 10.1364/ao.57.004683

Spatial frequency modulated imaging (SPIFI) is a powerful imaging method that when used in conjunction with multiphoton contrast mechanisms has the potential to improve the spatial and temporal scales that can be explored within a single nonlinear optical microscope platform.

Biomedical Optics Express

DOI: 10.1364/boe.9.002304

Deep tissue multiphoton imaging requires high peak power to enhance signal and low average power to prevent thermal damage. Both goals can be advantageously achieved through laser repetition rate tuning instead of simply adjusting the average power.

arXiv

In this work, we consider the problem of predicting the course of a progressive disease, such as cancer or Alzheimer’s. Progressive diseases often start with mild symptoms that might precede a diagnosis, and each patient follows their own trajectory.

DOI: 10.1117/12.2289065

Multiphoton Microscopy in the Biomedical Sciences XVIII

DOI: 10.1117/12.2285406

We demonstrate three-photon microscopy (3PM) of mouse cerebellum at 1 mm depth by imaging both blood vessels and neurons. We compared 3PM and 2PM in the mouse cerebellum for imaging green and red fluorescence.

DOI: 10.1073/pnas.1716189115

Proceedings of the National Academy of Sciences

DOI: 10.1073/pnas.1705841114

Neurons and networks in the cerebral cortex must operate reliably despite multiple sources of noise. To evaluate the impact of noise, we determine the robustness of single-neuron stimulus selective responses and the robustness of attractor states of networks of neurons performing memory tasks.