文献 | 量子荧光|微型光纤光谱仪-ag贵宾会

准确掌握治疗靶组织内光敏剂含量信息的实时变化情况对于理解光动力反应进程、疗效推进、制定合理的光动力治疗（photodynamic therapy，pdt）方案具有重要指导意义。本研究采用经典方法——荧光光谱无损检测技术，对鲜红斑痣（port wine stains，pws）pdt治疗过程中患区皮肤光敏剂的含量信息进行实时监测。提高监测信息的可信度，并结合临床退色效果给出与疗效相关的较明确的规律。研究中运用的光敏剂是临床上常用的psd007，主要成分血卟啉单甲醚（hematoporphyrin monomethylether， hmme）。主要做了以下几方面的工作。

this study was conducted to estimate the fraction of intercepted photosinthetically active radiation (fipar) in an olive orchard. the method proposed to estimate fipar in olive canopies consisted of a coupled radiative transfer model that linked the 3d forest light interaction model (flight) and the orchard radiation interception model (orim). this method was used to assess the estimation of instantaneous fipar as a function of planting grids, percentage cover, and soil effects. the linked model was tested against field measurements of fipar acquired for a commercial olive orchard, where study plots showing a gradient in the canopy structure and percentage cover were selected. high-resolution airborne multispectral imagery was acquired at 10 nm bandwidth and 15-cm spatial resolution, and the reflectance used to calculate vegetation indices from each study site. in addition, simulations of the land surface bidirectional reflectance were conducted to understand the relationships between canopy architecture and fipar on typical olive orchard planting patterns. input parameters used for the canopy model, such as the leaf and soil optical properties, the architecture of the canopy, and sun geometry, were studied in order to assess the effect of these inputs on the normalized difference vegetation index (ndvi) and fipar relationships. flight and orim models were independently assessed for fipar estimation using structural and ceptometer field data collected from each study site, yielding rmse values of 0.1 for the flight model, while the specific olive simulation model by orim yielded lower errors (rmse = 0.05). the reflectance simulations conducted as a function of the orchard architecture confirmed the usefulness of the modeling methods for this heterogeneous olive crop, and the high sensitivity of the ndvi and fipar to background, percentage cover, and sun geometry on these heterogeneous orchard canopies. the fipar estimations obtained from the airborne imagery through predictive relationships yielded rmse error values of 0.11 when using flight to simulate both the canopy reflectance and the fipar of the study sites. the coupled flight orim model yielded better results, obtaining rmse = 0.05 when using airborne remote sensing imagery to estimate fipar.

the ability to appropriately modify physiological and morphological traits in response to temporal variation should increase wtness. we used recombinant hybrid plants generated by crossing taxa in the piriqueta caroliniana complex to assess the evects of individual leaf traits and trait plasticities on growth in a temporally variable environment. recombinant hybrids were used to provide a wide range of trait expression and to allow an assessment of the independent evects of individual traits across a range of genetic backgrounds. hybrid genotypes were replicated through vegetative propagation and planted in common gardens at archbold biological station in venus, florida, where they were monitored for growth, leaf morphological characters, and integrated water use eyciency (wue) (c isotope ratio; 13c) for two successive seasons. under wet conditions only leaf area had signiwcant evects on plant growth, but as conditions became drier, growth rates were greatest in plants with narrow leaves and higher trichome densities. plants with higher wue exhibited increased growth during the dry season but not during the wet season. wue during the dry season was increased for plants with smaller, narrower leaves that had higher trichome densities and increased rexectance. examination of alternative path models revealed that during the dry season leaf traits had signiwcant evects on plant growth only through their direct evects on wue, as estimated from 13c. over the entire growing season, plants with a greater ability to produce smaller and narrower leaves with higher trichome densities in response to reduced water availability had the greatest growth rate. these wndings suggest that plants making appropriate changes to leaf morphology as conditions became dry had increased wue, and that the ability to adjust leaf phenotypes in response to environmental variation is a mechanism by which plants increase wtness.

the rapid spread of nonnative plant species have caused considerable negative impact to the biodiver sity and ecosystems in taiwan. to better under s tand the status and to suppor t researcher s and decision makers to develop strategies and remedies for this problem, it is necessary to obtain accurate spatial information and the progres sion about the invasions of foreign species into native ecocommu ni ty. the availability of hyper spect ral and high resolution satellite data provides researcher s an oppor tuni ty to pursue more complex analysis and have a great potential to achieve better performance and results in an invasive plants investigation. high resolution images provide detail spatial informa tion about the target areas but are often limited to single or few spectral bands. on the other hand, hyperspect ral data consist of tens to hundreds of contiguous bands but lack of spatial details. therefore, a combination of both types of data is likely to be an optimal approach to the mapping of alien plants. however, with the large data volume and high data dimensionality, the major challenge of using hyperspect ral and high resolution data together is to extract useful information effectively and efficiently. this paper present s a work in progres s of developing a systematic method to use hyperspect ral and high resolution satellite images to identify an invasive plant (horse tamarind, leucaena leucocephala ) that is spreading in an alarming rate in southern taiwan. the developed method first locates "areas of interes t" where target species is likely to populate most densely. then a two- level analysis procedure is implemented using hyperspect ral and high resolution satellite images to identify and map the distribution of target species. the first phase of the procedure is to analyze hyper spect ral images with selected (helpful) features to obtain a preliminary result. the second phase is to isolate the areas where discrimination of target plant species is not satisfactory and to improve the accuracy of discrimination with the analysis of canopy structure s in high resolution satellite images. verification with ground truth samples indicates that the developed method of combining high resolution and hyperspect ral images analysis is an effective and efficient approach to detect invasive plant s in a large area.