Skip to main navigation Skip to search Skip to main content

Imaging performance of the BNL PET imaging system for plant science

  • Michael Budassi
  • , Sean P. Stoll
  • , Martin L. Purschke
  • , Jack Fried
  • , Benjamin A. Babst
  • , Richard A. Ferrieri
  • , Craig L. Woody
  • , Paul Vaska
  • , David J. Schlyer
  • Stony Brook University
  • Brookhaven National Laboratory

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

A PET scanner for the purpose of plant imaging has been developed by the BNL PET imaging group. The compact design of the integrated system permits its use within a plant growth chamber, in which various radioisotopes can be administered and tracked throughout the plant. The scanner has seen multiple upgrades, which improve its capability to investigate aspects of plant biology related to biofuels using radiotracer methods. These include the development of real-time feedback on data quality and a streamlined user interface. Further, a programmable movable stage allows us to focus on particular regions of interest in the plant, as well as extend the field of view to span the entire plant in a vertical scanning mode. We will present imaging results from PET studies conducted in association with the plant biology group at BNL.

Original languageEnglish
Title of host publication2013 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2013
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479905348
DOIs
StatePublished - 2013
Event2013 60th IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2013 - Seoul, Korea, Republic of
Duration: Oct 27 2013Nov 2 2013

Publication series

NameIEEE Nuclear Science Symposium Conference Record
ISSN (Print)1095-7863

Conference

Conference2013 60th IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2013
Country/TerritoryKorea, Republic of
CitySeoul
Period10/27/1311/2/13

Fingerprint

Dive into the research topics of 'Imaging performance of the BNL PET imaging system for plant science'. Together they form a unique fingerprint.

Cite this