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http://yadda.icm.edu.pl:443/baztech/element/bwmeta1.element.baztech-d1263bd9-936d-4fe6-997a-873159ec6ce4

Czasopismo

Biocybernetics and Biomedical Engineering

Tytuł artykułu

Automatic tracking of neural stem cells in sequential digital images

Autorzy Zhang, T.  Jia, W.  Zhu, Y.  Yang, J. 
Treść / Zawartość http://www.ibib.waw.pl/pl/wydawnictwa/biocybernetics-and-biomedical-enginering-bbe/bbe-tomy http://www.journals.elsevier.com/biocybernetics-and-biomedical-engineering/
Warianty tytułu
Języki publikacji EN
Abstrakty
EN Neural stem cells are the cells that give rise to the main cell types of the nervous system. Due to their varying size and shape, and random movement, the tracking of these cells in suspension in video sequences is challenging. This paper develops an automatic tracking system for neural stem cells. The system first detects and localizes cells in the image sequence, followed by a feature extraction step for the subsequent cell tracking. Then, the system tracks inactive cells using an improved mean shift algorithm, divisive cells through a context-based technique, and active cells by means of dynamic local prediction (DLP) and gray prediction (GP) algorithms. Experimental results show that the proposed system not only improves the accuracy of fast moving tracking, but also constructs accurately the trajectories of the cell movement and reduces the iterations during the center searching.
Słowa kluczowe
PL śledzenie komórki   lokalna prognoza dynamiczna   komórka macierzysta  
EN cell tracking   improved mean shift   dynamic local prediction   gray prediction   neural stem cells  
Wydawca Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences
Elsevier
Czasopismo Biocybernetics and Biomedical Engineering
Rocznik 2016
Tom Vol. 36, no. 1
Strony 66--75
Opis fizyczny Bibliogr. 36 poz., rys., tab., wykr.
Twórcy
autor Zhang, T.
  • Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China, zhb827@sjtu.edu.cn
autor Jia, W.
autor Zhu, Y.
autor Yang, J.
  • Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China, jieyang@sjtu.edu.cn
Bibliografia
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Uwagi
PL Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.
Kolekcja BazTech
Identyfikator YADDA bwmeta1.element.baztech-d1263bd9-936d-4fe6-997a-873159ec6ce4
Identyfikatory
DOI 10.1016/j.bbe.2015.10.001