Title : 
Nerve fibers identification based on molecular hyperspectral imaging technology
         
        
            Author : 
Li, Qingli ; Wang, Yiting ; Liu, Hongying ; Chen, Zenggan
         
        
            Author_Institution : 
Key Lab. of Polor Mater. & Devices, East China Normal Univ., Shanghai, China
         
        
        
        
        
        
        
            Abstract : 
To identify the nerve fibers more effectively, a molecular hyperspectral imaging system is used to capture the molecular hyperpsectral images of nerve sections. This new type of imaging system has the advantage of having no moving parts and the spectra can be scanned at very high speed. Then a spectral angle mapper algorithm for automatic nerve fibers identification is presented. To evaluate the performance of the new method, both the molecular hyperspectral images (before staining) and the traditional microscope image (after staining) were captured and compared. The experiment results demonstrate that the new method can utilizes both spectral and spatial information of nerves and identify the nerve fibers more accurately.
         
        
            Keywords : 
hyperfine structure; medical image processing; molecular biophysics; neurophysiology; automatic nerve fiber identification; microscope image; molecular hyperspectral imaging technology; nerve spatial information; nerve spectral information; performance evaluation; spectral angle mapper algorithm; staining; Biomedical optical imaging; Hyperspectral imaging; Microscopy; Nerve fibers; Optical imaging; biomedical imaging; nerve fibers; spectral angle mapper; spectral imaging;
         
        
        
        
            Conference_Titel : 
Computer Science and Automation Engineering (CSAE), 2012 IEEE International Conference on
         
        
            Conference_Location : 
Zhangjiajie
         
        
            Print_ISBN : 
978-1-4673-0088-9
         
        
        
            DOI : 
10.1109/CSAE.2012.6272897