High throughput on-chip analysis of high-energy charged particle tracks using lensfree imaging

Abstract

We demonstrate a high-throughput charged particle analysis platform, which is based on lensfree on-chip microscopy for rapid ion track analysis using allyl diglycol carbonate, i.e., CR-39 plastic polymer as the sensing medium. By adopting a wide-area opto-electronic image sensor together with a source-shifting based pixel super-resolution technique, a large CR-39 sample volume (i.e., 4 cm × 4 cm × 0.1 cm) can be imaged in less than 1 min using a compact lensfree on-chip microscope, which detects partially coherent in-line holograms of the ion tracks recorded within the CR-39 detector. After the image capture, using highly parallelized reconstruction and ion track analysis algorithms running on graphics processing units, we reconstruct and analyze the entire volume of a CR-39 detector within ∼1.5 min. This significant reduction in the entire imaging and ion track analysis time not only increases our throughput but also allows us to perform time-resolved analysis of the etching process to monitor and optimize the growth of ion tracks during etching. This computational lensfree imaging platform can provide a much higher throughput and more cost-effective alternative to traditional lens-based scanning optical microscopes for ion track analysis using CR-39 and other passive high energy particle detectors.

Document Details

Document Type
Pub Defense Publication
Publication Date
Apr 13, 2015
Source ID
10.1063/1.4918741

Entities

People

  • Alon Greenbaum
  • Aydoğan Özcan
  • Cagatay Gulec
  • Chandrashekhar J. Joshi
  • Chao Gong
  • Faizan Shabbir
  • Jeremy Pigeon
  • Jessica Shaw
  • Sergei Tochitsky
  • Wei Luo

Organizations

  • Army Research Office
  • Howard Hughes Medical Institute
  • National Science Foundation
  • Office of Naval Research
  • United States Department of Energy
  • University of California

Tags

Fields of Study

  • Physics

Readers

  • Image Processing and Computer Vision.
  • Sensor Fusion and Tracking Systems.
  • Surface Engineering/Surface Coating Technology.

Technology Areas

  • Microelectronics
  • Microelectronics - Graphene