Title :
A novel method for counting subcellular structures labeled by green fluorescent protein
Author :
Quan Wen ; Wenming Qu ; Juan Chen ; Mete, Mutlu
Author_Institution :
Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
The direct observation and research on the subcellular structure is greatly improved by the advances of digital imaging devices and green fluorescent protein (GFP) labeling techniques at the molecular level. However, the digital imaging devices generate huge amount of data, which makes it an urgent task to develop fast, accurate and automatic data processing technologies for the biomedical research. In this paper, we propose a novel method for counting the number of subcellular structures labeled by GFP. First, the original GFP image is segmented into foreground and background by the bi-modal Gaussian distribution modeling. Then, the gray-scale reconstructive opening operation is applied to find the local maxima of the image. Finally, the number of the subcellular structures is counted by the connected component analysis on the local maxima. The proposed method is compared with other existing methods and the experimental results demonstrate that our approach is promising.
Keywords :
Gaussian distribution; biomedical imaging; cellular biophysics; fluorescence spectroscopy; image segmentation; image sensors; proteins; GFP image; GFP labeling techniques; automatic data processing technologies; bimodal Gaussian distribution modeling; biomedical research; component analysis; digital imaging devices; gray-scale reconstructive opening operation; green fluorescent protein labeling techniques; image local maxima; subcellular structure counting method; Digital images; Gray-scale; Image reconstruction; Image segmentation; Microscopy; Protein engineering; Proteins; expectation maximization; gray-scale reconstructive opening; green fluorescent protein; subcellular structure;
Conference_Titel :
Computational Problem-Solving (ICCP), 2012 International Conference on
Conference_Location :
Leshan
Print_ISBN :
978-1-4673-1696-5
Electronic_ISBN :
978-1-4673-1695-8
DOI :
10.1109/ICCPS.2012.6384310