Spectral line profiles of filaments/prominences to be observed by the Fast Imaging Solar Spectrograph (FISS) are studied. The main spectral lines of interests are Hα Ca II 8542, and Ca II K. FISS has a high spectral resolving power of 2 x 105, and supports simultaneous dual-band recording. This instrument will be installed at the 1.6m New Solar Telescope (NST) of Big Bear Solar Observatory, which has a high spatial resolution of 0.065" at 500nm. Adopting the cloud model of radiative transfer and using the model parameters inferred from pre-existing observations, we have simulated a set of spectral profiles of the lines that are emitted by a filament on the disk or a prominence at the limb. Taking into account the parameters of the instrument, we have estimated the photon count to be recorded by the CCD cameras, the signal-to-noise ratios, and so on. We have also found that FISS is suitable for the study of multi-velocity threads in filaments if the spectral profiles of Ca II lines are recorded together with Hα lines

In a companion paper, we have presented so-called Spatio-Spectral Maximum Entropy Method (SSMEM) particularly designed for Fourier-Transform imaging over a wide spectral range. The SSMEM allows simultaneous acquisition of both spectral and spatial information and we consider it most suitable for imaging spectroscopy of solar microwave emission. In this paper, we run the SSMEM for a realistic model of solar microwave radiation and a model array resembling the Owens Valley Solar Array in order to identify and resolve possible issues in the application of the SSMEM to solar microwave imaging spectroscopy. We mainly concern ourselves with issues as to how the frequency dependent noise in the data and frequency-dependent variations of source size and background flux will affect the result of imaging spectroscopy under the SSMEM. We also test the capability of the SSMEM against other conventional techniques, CLEAN and MEM.

본 연구의 목적은 광자계수검출기 기반 스펙트럼 전산화단층촬영을 이용하여 K-각 영상을 획득하고, 이 를 통해 3차원 융합진단영상을 구현하여 임상적 이용 가능성을 평가하고자 하였다. 실험을 통한 K-각 영상 획득을 위해 스펙트럼 전산화단층촬영 시스템을 이용하였다. 희석된 iodine과 gadolinium 조영제가 주입된 6개의 튜브를 돼지고기에 삽입하여 팬텀을 제작하였다. 100 kVp 관전압과 500 μA 관전류 조건에서 발생된 X-선을 이용하였으며, iodine과 gadolinium의 K-각 흡수에너지를 고려한 35 및 52 keV에 저에너지 문턱값 을 설정하여 K-각 영상을 획득하였다. 융합진단영상은 일반적인 전산화단층촬영 영상과 스펙트럼 전산화 단층촬영을 통해 획득한 iodine 및 gadolinium 영상을 정합하여 획득하였다. 두 가지 조영제 기반 융합진단 영상의 CNR은 일반적인 CT보다 평균적으로 6.76-14.9배 높았으며, 3차원 융합진단영상은 각 조영제의 물 질 지도 정보를 제공할 수 있었다. 따라서 본 연구에서 제안하는 방법을 통해 전산화단층영상의 화질을 향 상시킬 수 있으며 특정 물질의 추가적인 정보를 제공을 통해 진단의 효율성을 증가시킬 수 있다.

Many spectral imaging technologies are available to nondestructive means to assess plant status including abiotic and biotic stress conditions. In recent years, ARS has developed various sensing and instrumentation technologies for agricultural applications. These include hyperspectral imaging for visible/near-infrared (NIR) reflectance and fluorescence imaging, and multispectral laser-induced fluorescence imaging. Hyperspectral imagery is a fusion of imaging and traditional spectroscopy. We recently expanded the hyperspectral capabilities to include rapid macro-scale Raman chemical imaging. The current state of the art of imaging technologies and their potential applications for characterization of the plant status are presented.