@article{StreunBeerHombachetal.2008, author = {Streun, M. and Beer, S. and Hombach, T. and Jahnke, S. and Khodaverdi, M. and Larue, H. and Minwuyelet, S. and Parl, C. and Roeb, G. and Schurr, U. and Ziemons, Karl}, title = {PlanTIS: A positron emission tomograph for imaging 11C transport in plants}, series = {2007 IEEE Nuclear Science Symposium Conference Record, Vol. 6}, journal = {2007 IEEE Nuclear Science Symposium Conference Record, Vol. 6}, isbn = {1082-3654}, pages = {4110 -- 4112}, year = {2008}, abstract = {Plant growth and transport processes are highly dynamic. They are characterized by plant-internal control processes and by strong interactions with the spatially and temporally varying environment. Analysis of structure- function relations of growth and transport in plants will strongly benefit from the development of non-invasive techniques. PlanTIS (Plant Tomographic Imaging System) is designed for non-destructive 3D-imaging of positron emitting radiotracers. It will permit functional analysis of the dynamics of carbon distribution in plants including bulky organs. It will be applicable for screening transport properties of plants to evaluate e.g. temperature adaptation of genetically modified plants. PlanTIS is a PET scanner dedicated to monitor the dynamics of the 11C distribution within a plant while or after assimilation of 11CO2. Front end electronics and data acquisition architecture of the scanner are based on the ClearPETTM system [1]. Four detector modules form one of two opposing detector blocks. Optionally, a hardware coincidence detection between the blocks can be applied. In general the scan duration is rather long (~ 1 hour) compared to the decay time of 11C (20 min). As a result the count rates can vary over a wide range and accurate dead time correction is necessary.}, language = {en} } @inproceedings{AlexopoulosKluczkaVaessenetal.2012, author = {Alexopoulos, Spiros and Kluczka, Sven and Vaeßen, Christiane and Roeb, M. and Neises, M.}, title = {Scenario development for efficient methanol production using CO2 and solar energy}, series = {Eurosun 2012 : Solar energy for a brighter future : conference proceedings : Rijeka, 18.-22.09.2012}, booktitle = {Eurosun 2012 : Solar energy for a brighter future : conference proceedings : Rijeka, 18.-22.09.2012}, address = {Rijeka}, pages = {ID 99}, year = {2012}, language = {en} } @article{BeerStreunHombachetal.2010, author = {Beer, S. and Streun, M. and Hombach, T. and Buehler, J. and Jahnke, S. and Khodaverdi, M. and Larue, H. and Minwuyelet, S. and Parl, C. and Roeb, G. and Schurr, U. and Ziemons, Karl}, title = {Design and initial performance of PlanTIS: a high-resolution positron emission tomograph for plants}, series = {Physics in Medicine and Biology}, volume = {55}, journal = {Physics in Medicine and Biology}, number = {3}, publisher = {IOP}, address = {Bristol}, issn = {1361-6560}, doi = {10.1088/0031-9155/55/3/006}, pages = {635 -- 646}, year = {2010}, abstract = {Positron emitters such as 11C, 13N and 18F and their labelled compounds are widely used in clinical diagnosis and animal studies, but can also be used to study metabolic and physiological functions in plants dynamically and in vivo. A very particular tracer molecule is 11CO2 since it can be applied to a leaf as a gas. We have developed a Plant Tomographic Imaging System (PlanTIS), a high-resolution PET scanner for plant studies. Detectors, front-end electronics and data acquisition architecture of the scanner are based on the ClearPET™ system. The detectors consist of LSO and LuYAP crystals in phoswich configuration which are coupled to position-sensitive photomultiplier tubes. Signals are continuously sampled by free running ADCs, and data are stored in a list mode format. The detectors are arranged in a horizontal plane to allow the plants to be measured in the natural upright position. Two groups of four detector modules stand face-to-face and rotate around the field-of-view. This special system geometry requires dedicated image reconstruction and normalization procedures. We present the initial performance of the detector system and first phantom and plant measurements.}, language = {en} } @article{JahnkeMenzelDusschotenetal.2009, author = {Jahnke, Siegfried and Menzel, Marion I. and Dusschoten, Dagmar van and Roeb, Gerhard W. and B{\"u}hler, Jonas and Minwuyelet, Senay and Bl{\"u}mler, Peter and Temperton, Vicky M. and Hombach, Thomas and Streun, Matthias and Beer, Simone and Khodaverdi, Maryam and Ziemons, Karl and Coenen, Heinz H. and Schurr, Ulrich}, title = {Combined MRI-PET dissects dynamic changes in plant structures and functions}, series = {The Plant Journal}, volume = {59}, journal = {The Plant Journal}, number = {4}, publisher = {Wiley}, address = {Weinheim}, isbn = {1365-313X}, pages = {634 -- 644}, year = {2009}, abstract = {Unravelling the factors determining the allocation of carbon to various plant organs is one of the great challenges of modern plant biology. Studying allocation under close to natural conditions requires non-invasive methods, which are now becoming available for measuring plants on a par with those developed for humans. By combining magnetic resonance imaging (MRI) and positron emission tomography (PET), we investigated three contrasting root/shoot systems growing in sand or soil, with respect to their structures, transport routes and the translocation dynamics of recently fixed photoassimilates labelled with the short-lived radioactive carbon isotope 11C. Storage organs of sugar beet (Beta vulgaris) and radish plants (Raphanus sativus) were assessed using MRI, providing images of the internal structures of the organs with high spatial resolution, and while species-specific transport sectoralities, properties of assimilate allocation and unloading characteristics were measured using PET. Growth and carbon allocation within complex root systems were monitored in maize plants (Zea mays), and the results may be used to identify factors affecting root growth in natural substrates or in competition with roots of other plants. MRI-PET co-registration opens the door for non-invasive analysis of plant structures and transport processes that may change in response to genomic, developmental or environmental challenges. It is our aim to make the methods applicable for quantitative analyses of plant traits in phenotyping as well as in understanding the dynamics of key processes that are essential to plant performance.}, language = {en} }