NMDA receptors play dual and opposing roles in neuronal survival by mediating the activity‐dependent neurotrophic signaling and excitotoxic cell death via synaptic and extrasynaptic receptors, respectively. In this study, we demonstrate that the aryl hydrocarbon receptor (AhR), also known as the dioxin receptor, is involved in the expression and the opposing activities of NMDA receptors. In primary cultured cortical neurons, we found that NMDA excitotoxicity is significantly enhanced by an AhR agonist 2,3,7,8‐tetrachlorodibenzo‐p‐dioxin, and AhR knockdown with small interfering RNA significantly reduces NMDA excitotoxicity. AhR knockdown also significantly reduces NMDA‐increases intracellular calcium concentration, NMDA receptor expression and surface presentation, and moderately decreases the NMDA receptor‐mediated spontaneous as well as miniature excitatory post‐synaptic currents. However, AhR knockdown significantly enhances the bath NMDA application– but not synaptic NMDA receptor‐induced brain‐derived neurotrophic factor (BDNF) gene expression, and activating AhR reduces the bath NMDA‐induced BDNF expression. Furthermore, AhR knockdown reveals the calcium dependency of NMDA‐induced BDNF expression and the binding activity of cAMP‐responsive element binding protein (CREB) and its calcium‐dependent coactivator CREB binding protein (CBP) to the BDNF promoter upon NMDA treatment. Together, our results suggest that AhR opposingly regulates NMDA receptor‐mediated excitotoxicity and neurotrophism possibly by differentially regulating the expression of synaptic and extrasynaptic NMDA receptors.

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Mobile mapping technologies have contributed to close range photogrammetry becoming an efficient method for a wide range of applications over the last two decades. Advancements have included the integration of multi-camera images and georeferencing data collected with a mobile mapping system (MMS). This paper proposes the use of a portable panoramic image mapping system (PPIMS), which is a specially designed platform equipped with eight cameras to capture panoramic images and a global navigation satellite system (GNSS) receiver (or a prism reflector) for positioning. A rigorous calibration procedure is developed for PPIMS, as well as a bundle adjustment method to solve for the platform exterior orientation parameters (EOPs) which then allows the image EOPs to be calculated. Experimental results demonstrate that PPIMS mapping accuracy can be better than 13 mm, making it comparable with traditional methods but much more efficient in the measuring process.

ABSTRACT:This paper proposes an object-space multi-image matching procedure of terrestrial MMS (Mobile Mapping System) image sequences to determine the coordinates of an object point automatically and reliably. This image matching procedure can be applied to find conjugate points of MMS image sequences efficiently. Conventional area-based image matching methods are not reliable to deliver accurate matching results for this application due to image scale variations, viewing angle variations, and object occlusions. In order to deal with these three matching problems, an object space multi-image matching is proposed. A modified NCC (Normalized Cross Correlation) coefficient is proposed to measure the similarity of image patches. A modified multi-window matching procedure will also be introduced to solve the problem of object occlusion. A coarse-to-fine procedure with a combination of object-space multi-image matching and multi-window matching is adopted. The proposed procedure has been implemented for the purpose of matching terrestrial MMS image sequences. The ratio of correct matches of this experiment was about 80%. By providing an approximate conjugate point in an overlapping image manually, most of the incorrect matches could be fixed properly and the ratio of correct matches was improved up to 98%.

A Portable Panoramic Image Mapping System (PPIMS) is proposed for rapid acquisition of three-dimensional spatial information. By considering the convenience of use, cost, weight of equipment, precision, and power supply, the designed PPIMS is equipped with 6 circularly arranged cameras to capture panoramic images and a GPS receiver for positioning. The motivation for this design is to develop a hand-held Mobile Mapping System (MMS) for some difficult accessing areas by vehicle MMS, such as rugged terrains, forest areas, heavily damaged disaster areas, and crowed places etc. This PPIMS is in fact a GPS assisted close-range photogrammetric system. Compared with the traditional close-range photogrammetry, PPIMS can reduce the need of ground control points significantly. Under the condition of knowing the relative geometric relationships of the equipped sensors, the elements of exterior orientation of each captured image can be solved. However, the procedure of a system calibration should be done accurately to determine the relative geometric relationships of multi-cameras and the GPS antenna center, before the PPIMS can be applied for geo-referenced mapping. In this paper, both of one-step and two-step calibration procedures for PPIMS are performed to determine the lever-arm offsets and boresight angles among cameras and GPS. The performance of the one-step and two-step calibration is evaluated through the analysis of the experimental results. The comparison between these two calibration procedures was also conducted. The two-step calibration method outperforms the one-step calibration method in terms of calibration accuracy and operation convenience. We expect that the proposed two-step calibration procedure can also be applied to other platform-based MMSs.