“…The scintillator is coupled to a 6x8 array of Hamamatsu R7600-00-C8 position sensitive photomultipliers tubes. The system was recently upgraded from a VME readout to a field programmable gate array (FPGA) based system and a Java based data acquisition package running on a desktop computer (PC) [11,12].…”
Section: Methodsmentioning
confidence: 99%
“…In 1937 Rubin et al report on the use of 11 C in plant studies [1] and 1947 Benson and Calvin first reported on the uses of 14 C for photosynthesis studies [2]. The development of new technologies associated with radionuclide imaging in plants can increase our understanding of metabolic processes necessary for efficient food and biofuel production in a changing environment or of best bioassays for environmental remediation.…”
There are opportunities for the development of new tools to advance plant biology research through the use of radionuclides. Thomas Jefferson National Accelerator Facility, Duke University, West Virginia University and the University of Maryland are collaborating on the development of radionuclide imaging technologies to facilitate plant biology research. Biological research into optimizing plant productivity under various environmental constraints, biofuel and carbon sequestration research are areas that could potentially benefit from new imaging technologies. Using 11 CO 2 tracers, the investigators at Triangle University Nuclear Laboratory / Duke University Phytotron are currently researching the dynamical responses of plants to environmental changes forecasted from increasing greenhouse trace gases involved in global change. The biological research primary focus is to investigate the impact of elevated atmospheric CO 2 and nutrients limitation on carbon and nitrogen dynamics in plants. We report here on preliminary results of 11 CO 2 plant imaging experiments involving barley plants using Jefferson Lab dual planar positron emission tomography detectors to image 11 CO 2 in live barley plants. New detector designs will be developed based on the preliminary studies reported here and further planned.
“…The scintillator is coupled to a 6x8 array of Hamamatsu R7600-00-C8 position sensitive photomultipliers tubes. The system was recently upgraded from a VME readout to a field programmable gate array (FPGA) based system and a Java based data acquisition package running on a desktop computer (PC) [11,12].…”
Section: Methodsmentioning
confidence: 99%
“…In 1937 Rubin et al report on the use of 11 C in plant studies [1] and 1947 Benson and Calvin first reported on the uses of 14 C for photosynthesis studies [2]. The development of new technologies associated with radionuclide imaging in plants can increase our understanding of metabolic processes necessary for efficient food and biofuel production in a changing environment or of best bioassays for environmental remediation.…”
There are opportunities for the development of new tools to advance plant biology research through the use of radionuclides. Thomas Jefferson National Accelerator Facility, Duke University, West Virginia University and the University of Maryland are collaborating on the development of radionuclide imaging technologies to facilitate plant biology research. Biological research into optimizing plant productivity under various environmental constraints, biofuel and carbon sequestration research are areas that could potentially benefit from new imaging technologies. Using 11 CO 2 tracers, the investigators at Triangle University Nuclear Laboratory / Duke University Phytotron are currently researching the dynamical responses of plants to environmental changes forecasted from increasing greenhouse trace gases involved in global change. The biological research primary focus is to investigate the impact of elevated atmospheric CO 2 and nutrients limitation on carbon and nitrogen dynamics in plants. We report here on preliminary results of 11 CO 2 plant imaging experiments involving barley plants using Jefferson Lab dual planar positron emission tomography detectors to image 11 CO 2 in live barley plants. New detector designs will be developed based on the preliminary studies reported here and further planned.
“…We split the functionality of the DAQ system into two different hardware modules (figure 4), partially following the architecture defined in Hack et al (1986) and sharing similarities with the system detailed in Proffitt et al (2005Proffitt et al ( , 2006. The main module is an arbiter used for detecting single or coincident photons, which generates counting and gate signals for the ADC modules.…”
Section: Data Acquisition System Prototypementioning
We present a new high-performance and low-cost approach for implementing radiation detection acquisition systems. The basic elements used are chargeintegrating ADCs and a set of components encapsulated in an HDL (hardware definition language) library which makes it possible to implement several acquisition tasks such as time pickoff and coincidence detection using a new and simple trigger technique that we name WMLET (width-modulated leading-edge timing). As proof of concept, a 32-channel hybrid PET/SPECT acquisition system based on these elements was developed and tested. This demonstrator consists of a master module responsible for the generation and distribution of trigger signals, 2 × 16-channel ADC cards (12-bit resolution) for data digitization and a 32-bit digital I/O PCI card for handling data transmission to a personal computer. System characteristics such as linearity, maximum transmission rates or timing resolution in coincidence mode were evaluated with test and real detector signals. Imaging capabilities of the prototype were also evaluated using different detector configurations. The performance tests showed that this implementation is able to handle data rates in excess of 600k events s −1 when acquiring simultaneously 32 channels (96-byte events). ADC channel linearity is >98.5% in energy quantification. Time resolution in PET mode for the tested configurations ranges from 3.64 ns FWHM to 7.88 ns FWHM when signals from LYSO-based detectors are used. The measured energy resolution matched the expected values for the detectors evaluated and single elements of crystal matrices can be neatly separated in the acquired flood histograms.
“…A new high-speed USB-based data acquisition system was previously developed to instrument the gamma-ray imaging detectors designed by the Jefferson Lab Detector and Imaging Group [1]. It was successfully demonstrated on a variety of detectors and configurations.…”
We made substantial progress with a flexible highrate USB data acquisition system developed for gamma-ray imaging detectors. Hardware consists of 16-channel data acquisition modules installed on USB carrier boards. One, two, and four-module units were developed. USB data rate was increased to over 30 MB/s and a 16-channel configuration achieved a trigger rate of over 700 kHz. Several high-resolution single-gamma detectors and two high-rate PET detectors were instrumented. The detectors use various configurations of Hamamatsu H8500, H9500, and Burle 85002-800 PSPMTs. System channels were expanded by synchronizing additional acquisition units. A Java client-server system was developed to link acquisition computers over Gigabit Ethernet. A Kmax tool was developed to process and display images during acquisition. C and Java utilities were developed to assist development and diagnostics.
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