Portfolio
laser speckle contrast imaging
Industry Medical Optics
Tools Computer Vision ML
Laser speckle contrast imaging
A common question during surgery is determining the perfusion of blood through tissue. We demonstrated how perfusion can be measured by illuminating tissue with an infrared laser, and observing the resulting backscatter from red blood cells.
terrain navigation
Industry Aerospace Defense
Tools Computer Vision 3D Blender
Image-based Terrain Navigation
In GPS-denied environments, a downward terrain-facing camera can be used to localize an aircraft's position. We demonstrated a particle filter for terrain navigation based on a synthetically generated dataset.
AHEAD
Industry Policy
Tools Data Visualization D3js
AHEAD
Applied Photons was a primary developer for America’s HIV Epidemic Analysis Dashboard (AHEAD), a data visualization tool that displays relevant data on the 6 HIV indicators provided by the Centers for Disease Control and Prevention.
polarimetric imaging
Industry Medical Optics
Tools Computer Vision ML
Polarimetric imaging
STAR robot
Industry Medical Robotics
Tools ROS Computer Vision
Autonomous surgical robotics
We developed the first autonomous robot for performing surgical anastomoses. By combining a KUKA maniupulator and camera system with custom AI software and end-effector tools, we successfully demonstrated its operation in a pre-clinical validaton study.
3D imaging
Industry Medical Optics
Tools Computer Vision ML
Depth-from-defocus 3D imaging
Most 3D cameras require two or more viewing angles, which makes them impractical for laparoscopic surgery. We developed a novel single-axis 3D camera based on fast, electronically-tunable liquid lens.
Synthetic datasets
Industry General
Tools Computer Vision ML
Synethetic rendered ML datasets
With the availability of high quality rendering software such as Blender, it has recently become possible to generate photorealistic images on commodity computers. These tools can rapidly create ML training datasets that would otherwise be impractical to collect in the field.