Optical Counting and Localization of Suspended Particles Using a Hough Transform

Web Published:

­Optical Counting and Localization of Suspended Particles Using a Hough


Princeton Docket # 20-3689

Researchers at Princeton University and PPPL have developed a new method for counting bubbles in non-electronic, superheated emulsion bubble neutron detectors. Traditional single-image counting techniques lose accuracy as objects occlude one another at higher densities. By combining the bubble position data of multiple images, this technology overcomes the occultation limit from previous imaging methods and can identify the unique identity and three-dimensional location of the bubbles within the detector volume.


  • Radiation dosimetry
  • Radiation alarms
  • Nuclear warhead verification
  • 3D printing
  • Manufacturing
  • Medical imaging
  • Pharmaceuticals


  • Allows counting to higher numbers than the occultation limit of a single image


Mike Hepler is a Doctor of Mechanical and Aerospace Engineering working at the intersection of technology, security, and science policy.  His research spans electric spacecraft propulsion, nuclear nonproliferation and verification technologies, and machine vision and artificial intelligence applications to radiation detection.  He is currently based in Basel, Switzerland and is the founder of Sauterelle Consulting LLC.

Intellectual Property Status
Patent protection is pending.

Princeton is currently seeking commercial partners for the further development and commercialization of this opportunity. 

Chris Wright

Princeton University Office of Technology Licensing • (609) 258-6762• cw20@princeton.edu

Laurie Bagley

Princeton Plasma Physics Laboratory • (609) 243-2425• lbagley@pppl.gov


Patent Information:
For Information, Contact:
Chris Wright
Licensing Associate
Princeton University
Robert Goldston
Michael Hepler