Autor: Zeković, I. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Optical and Thermal Investigation of Sol-Gel Derived Eu$\text{}^{3+}$:Y$\text{}_{2}$SiO$\text{}_{5}$ Nanoparticles
Autorzy:: Krsmanović, R.
Andrić, Ž.
Marinović-Cincović, M.
Zeković, I.
Dramićanin, M. D.
Powiązania:: https://bibliotekanauki.pl/articles/2047861.pdf
Data publikacji:: 2007-11
Wydawca:: Polska Akademia Nauk. Instytut Fizyki PAN
Tematy:: 61.43.Gt
61.46.Hk
68.37.Hk
78.67.Bf
81.70.Pg
Opis:: Investigation done on Y$\text{}_{2}$SiO$\text{}_{5}$ nanoparticles doped with Eu$\text{}^{3+}$ ions obtained with the alkoxy sol-gel route is presented in this paper. We investigate the optical and thermal properties of obtained material during the conversion of the gel into nanocrystalline form. Fourier transform infrared spectroscopy and fluorescence spectroscopy of Eu$\text{}^{3+}$ ions are used for the optical characterizations, while thermal analysis is done with thermogravimetric-differential thermal analysis technique. Material exhibits characteristic luminescence emission of the trivalent europium ion.
Źródło:: Acta Physica Polonica A; 2007, 112, 5; 975-980
0587-4246
1898-794X
Pojawia się w:: Acta Physica Polonica A
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: Optical Biopsy Method for Breast Cancer Diagnosis Based on Artificial Neural Network Classification οf Fluorescence Landscape Data
Autorzy:: Dramićanin, T.
Zeković, I.
Dimitrijević, B.
Ribar, S.
Dramićanin, M.
Powiązania:: https://bibliotekanauki.pl/articles/1795706.pdf
Data publikacji:: 2009-10
Wydawca:: Polska Akademia Nauk. Instytut Fizyki PAN
Tematy:: 87.64.kv
84.35.+i
87.19.xj
33.50.-j
Opis:: Supervised self-organizing map, a type of artificial neural network, is applied for classification of human breast tissue samples utilizing data obtained from fluorescence landscape measurements. Female breast tissue samples were taken soon after the surgical resection, identified and stored at -80°C until fluorescence measurements. From fluorescence landscapes obtained in UV-VIS region spectral features showing statistically significant differences between malignant and normal samples are identified and further quantified to serve as a training input to neural network. Additional set of samples was used as a test group input to trained network in order to evaluate performance of proposed optical biopsy method. Classification sensitivity of 83.9% and specificity of 88.9% are found.
Źródło:: Acta Physica Polonica A; 2009, 116, 4; 690-692
0587-4246
1898-794X
Pojawia się w:: Acta Physica Polonica A
Dostawca treści:: Biblioteka Nauki

Artykuł

Informacja