TY - JFULL AU - K. A. Laptinskiy and S. A. Burikov and A. M. Vervald and S. A. Dolenko and T. A. Dolenko PY - 2014/11/ TI - Using Artificial Neural Networks for Optical Imaging of Fluorescent Biomarkers T2 - International Journal of Computer and Information Engineering SP - 1338 EP - 1344 VL - 8 SN - 1307-6892 UR - https://publications.waset.org/pdf/9999549 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 94, 2014 N2 - The article presents the results of the application of artificial neural networks to separate the fluorescent contribution of nanodiamonds used as biomarkers, adsorbents and carriers of drugs in biomedicine, from a fluorescent background of own biological fluorophores. The principal possibility of solving this problem is shown. Use of neural network architecture let to detect fluorescence of nanodiamonds against the background autofluorescence of egg white with high accuracy - better than 3 ug/ml. ER -