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Spectral imaging is an analysis method that obtains spatial information of spectrum by combining spectroscopy and optical imaging. In spectroscopy, wavelength information of light emission, absorption, refraction or scattering is obtained to analyze material characteristics, such as composition, concentration and so on. By obtaining spatial information altogether, it is possible to perform component and concentration distribution measurement. Also, by narrowing down the analysis target area, the accuracy is to be improved in comparison with a single point detector. For this reason, spectral imaging has been extensively researched and is expected to be applied to many fields including scientific instrumentation, medical, agricultural and so on1)-4). Several applications have already been reported, such as environmental monitoring5), food inspection6), biomedical analysis7)8) and so on with a variety of light waveband sets from UV to NIR. In general, a designated set of several wavebands for spectral analysis is required by each spectral imaging application6). Spectral imaging can be roughly divided into emission based imaging and absorption based imaging. High sensitivity and high SNR are required in these analyses, respectively. Here, an absorption analysis is used to identify and measure concentration of chemical substances of a target object by measuring the attenuation of light intensity that pass through it. The Beer-Lambert law describes the principle of absorption analysis as expressed by the following equation.

[Papers] A Multi Spectral Imaging System with a 71dB SNR 190-1100 nm CMOS Image Sensor and an Electrically Tunable Multi Bandpass Filter