Jet-like features of Jiulongjiang River plume discharging into the west Taiwan Strait

In-situ data from the summer cruise of 2010 in the west Taiwan Strait are used to study the spatial distribution of the Jiulongjiang River plume （JRP）. The results show that in the 2 m layer, the JRP debouches into the west Taiwan Strait in the form of jets, with one branch through the Xiamen Bay （Xiamen JR_P） and another through the channel between Jinmen and Weitou （JinWei JRP）. Driven by the summer southwesterly monsoon, the upwelling-related Dongshan low temperature and high salinity water flows northeastward in the form of a jet as well. To a certain degree, the Dongshan low temperature and high salinity jet restricts the Xiamen JRP from spreading further offshore and drags the JinWei JRP northeastward at the same time. Meanwhile, a terrestrial dissolved organic matter （DOM） distribution model on the basis of molecular collision theory in thermodynamics and statistical physics is applied to analyze the Moderate Resolution Imaging Spectroradiometer （MODIS） turbidity data. The correlation coefficient of the theoretical model to the MODIS turbidity data reaches 0.96 （significant at a 95% level of confidence）. The result clarifies the dynamic mechanism for the turbidity distribution characteristics. It is the salinity in macro-scale that plays a decisive role in the turbidity variability in the coastal water. This suggests that the satellite-derived turbidity data can be used as an indicator to show the spreading patterns of the JRP. Based on the turbidity data from 2003 to 2011, we conclude that there are four main spreading patterns of the JRP.

Effect of image registration on longitudinal analysis of retinal nerve fiber layer thickness of non-human primates using Optical Coherence Tomography(OCT)

Background:In this paper we determined the benefits of image registration on estimating longitudinal retinal nerve fiber layer thickness(RNFLT)changes.Methods:RNFLT maps around the optic nerve head(ONH)of healthy primate eyes were measured using Optical Coherence Tomography(OCT)weekly for 30 weeks.One automatic algorithm based on mutual information(MI)and the other semi-automatic algorithm based on log-polar transform cross-correlation using manually segmented blood vessels(LPCC_MSBV),were used to register retinal maps longitudinally.We compared the precision and recall between manually segmented image pairs for the two algorithms using a linear mixed effects model.Results:We found that the precision calculated between manually segmented image pairs following registration by LPCC_MSBV algorithm is significantly better than the one following registration by MI algorithm(p<<0.0001).Trend of the all-rings and temporal,superior,nasal and inferior(TSNI)quadrants average of RNFLT over time in healthy primate eyes are not affected by registration.RNFLT of clock hours 1,2,and 10 showed significant change over 30 weeks(p=0.0058,0.0054,and 0.0298 for clock hours 1,2 and 10 respectively)without registration,but stayed constant over time with registration.Conclusions:The LPCC_MSBV provides better registration of RNFLT maps recorded on different dates than the automatic MI algorithm.Registration of RNFLT maps can improve clinical analysis of glaucoma progression.