| dc.description.abstract | Hyperspectral imaging makes use of the intrinsic spectral property, in which different materials and tissues solely possess their own emission spectrum. It was originally utilized in remote sensing, and was then developed for a wide variety of fields, including the biomedical field. In hyperspectral imaging systems, high spectral resolution can be achieved by spatial scanning methods which can be further divided into line-scanning approaches and point-scanning approaches. The common disadvantage of the point-scanning approach is its rather long acquisition time, whereas was reduced in line-scanning approaches, but it came with the price of sacrificing its spatial resolution in its long-axial. In this research, line-scanning hyperspectral imaging system is combined with structured illumination to improve the spatial resolution, successfully constructing a hyperspectral imaging system via optical sectioning microscopy.
In this thesis, the hyperspectral imaging system was applied to acquire the fluorescence hyperspectral data of specimens. Utilizing the one-dimensional spectral and two-dimensional spatial information, in addition with the linear unmixing process, the aim is to solve the common crosstalk problem in spectral imaging. With specimens of pollens and multiple stained mouse hair follicles, the imaging results demonstrated that the system can effectively overcome the crosstalk problem, and successfully analyze the constituents of the specimen. | en_US |