TY  - CHAP
A1  - Weber, S.
A1  - Terstegge, Andreas
A1  - Halling, H.
A1  - Herzog, H.
A1  - Reinartz, R.
A1  - Reinhart, P.
A1  - Rongen, F.
A1  - Müller-Gärtner, H.-W.
T1  - The design of an animal PET: flexible geometry for achieving optimal spatial resolution or high sensitivity
T2  - Conference record / 1995 IEEE Nuclear Science Symposium and Medical Imaging, October 21 - 28, 1995, San Francisco ; vol. 2
Y1  - 1995
SN  - 078033180X ; 0780331818 ; 0780331826
SP  - 1002
EP  - 1005
PB  - IEEE
CY  - Piscataway, NJ
ER  - 
TY  - JOUR
A1  - Arinkin, Vladimir
A1  - Digel, Ilya
A1  - Porst, Dariusz
A1  - Temiz Artmann, Aysegül
A1  - Artmann, Gerhard
T1  - Phenotyping date palm varieties via leaflet cross-sectional imaging and artificial neural network application
JF  - BMC bioinformatics
N2  - Background
True date palms (Phoenix dactylifera L.) are impressive trees and have served as an indispensable source of food for mankind in tropical and subtropical countries for centuries. The aim of this study is to differentiate date palm tree varieties by analysing leaflet cross sections with technical/optical methods and artificial neural networks (ANN).

Results
Fluorescence microscopy images of leaflet cross sections have been taken from a set of five date palm tree cultivars (Hewlat al Jouf, Khlas, Nabot Soltan, Shishi, Um Raheem). After features extraction from images, the obtained data have been fed in a multilayer perceptron ANN with backpropagation learning algorithm.

Conclusions
Overall, an accurate result in prediction and differentiation of date palm tree cultivars was achieved with average prediction in tenfold cross-validation is 89.1% and reached 100% in one of the best ANN.
Y1  - 2014
U6  - http://dx.doi.org/10.1186/1471-2105-15-55
SN  - 1471-2105
VL  - 15
IS  - 55
SP  - 1
EP  - 8
ER  - 
TY  - JOUR
A1  - Sawada, Kazuaki
A1  - Nakazawa, Hirokazu
A1  - Takenaga, Shoko
A1  - Hizawa, Takeshi
A1  - Futagawa, Masato
A1  - Dasai, Fumihiro
A1  - Sakurai, Takashi
A1  - Okumura, Koichi
A1  - Hattori, Toshiaki
A1  - Ishida, Makoto
T1  - Multimodal bioimage sensor
JF  - IEICE transactions on fundamentals of electronics, communidations and computer sciences
N2  - To visualize the biochemical distribution two-dimensionally, we invented a solid-state-type ion image sensor that indicates the chemical activity of solutions and cells. The device, which consists of a CCD array covered with a functionalized membrane to detect charge accumulation, is highly sensitive to changes in the concentration and two-dimensional distribution of ions and biomaterials.
Y1  - 2014
U6  - http://dx.doi.org/10.1587/transfun.E97.A.726
SN  - 0916-8508 (Print) ; 1745-1337 (Online)
VL  - E97-A (2014)
IS  - 3
SP  - 726
EP  - 733
PB  - IEICE
CY  - Tokyo
ER  -