We present the visualization of the mouse cerebellum and adjacent brainstem using a serial optical coherence scanner, which integrates a vibratome slicer and polarization-sensitive optical coherence tomography for ex vivo imaging. The scanner provides intrinsic optical contrasts to distinguish the cerebellar cortical layers and white matter. Images from serial scans reveal the large-scale anatomy in detail and map the nerve fiber pathways in the cerebellum and brainstem. By incorporating a water-immersion microscope objective, we also present high-resolution tiled images that delineate fine structures in the cerebellum and brainstem.
The optic axis of birefringent samples indicates the direction of optical anisotropy, which should be described in three-dimensional (3-D) space. We present a method to quantify the complete 3-D optic axis orientation calculated from in-plane optic axis measurements from a polarization-sensitive optical coherence tomography system. The in-plane axis orientations with different illumination angles allow the calculation of the necessary polar angle. The method then provides the information to produce the actual birefringence. The method and results from a biological sample are presented.
Target acquisition is of great importance for ship borne range-gated night vision system which can achieve target finding,
target tracing and ranging. A digital image processing algorithm is developed for the mentioned night vision equipment
above. Target contour is extracted using Canny edge detection algorithm based on self-adapted Otsu threshold
segmentation. Furthermore, edge thinning, edge connection and morphologic methods are implemented to ameliorate the
acquired contour. Pixels inside the contour are collected utilizing horizontal-vertical traverse. After ship targets from
range-gated equipment being all tested, target contour and inner pixels can both be acquired through this algorithm.
How to simulate the decay pattern is crucial during lifetime inversion while utilizing intensity images acquired at
increasing delays in time gated fluorescence lifetime imaging microscopy (FLIM) method. A relatively novel
understanding of fluorescence decay pattern theory and stimulation algorithms of time gated FLIM method have been
analyzed in this paper comprehensively. Main lifetime computing algorithms can be classified as exponential pattern
retrieve and polynomial fitting procedure. Especially, a novel lifetime computing method based on bi-exponential decay
has been discussed. In experiment, we have validated the proposed algorithms utilizing synthetic images. Performances
like calculating precision and computing speed of the algorithms above have also been compared.