A combination of experimental lidar results and shape-dependent scatter amplitude matrix calculations are used to explore the utility of polarimetric lidars for aerosol characterization. Solutions are developed for the induced polarization vector response of skewed spheroidal particles and the scatter is then computed using an improved anomalous diffraction approximation method. Experimental data was collected on biological simulant, chemical simulant, and interferent aerosol clouds using a 1047 nm micropulse lidar designed to measure the simultaneous depolarization using a linearly polarized source. Depolarization signatures obtained during testing show a clear difference between wet and dry biological simulant aerosols, wet chemical simulant releases, and some interferents. Combining these measurements with the shape-dependent model calculations help us understand the unique polarimetric signatures that may be exploited for aerosol characterization using stand-off lidar techniques.
KEYWORDS: Tissue optics, In vivo imaging, Near infrared, Signal detection, Imaging systems, Neuroimaging, Optical properties, Absorption, Motion models, Tissues
Optical neuroimaging technologies aim to observe neural tissue structure and function by detecting changes in optical signals (scatter, absorption, etc…) that accompany a range of anatomical and functional properties of brain tissue. At present, there is a tradeoff between spatial and temporal resolution that is not currently optimized in a single imaging modality. We have developed a coherent optical imaging approach that begins to remove this trade-off and have demonstrated high spatiotemporal (<100µm and >100Hz) in-vivo recordings of neural activity over large 20mm2 areas.
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