中国科学院机构知识库网格系统: 检索

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	Concomitant Near-Infrared Photothermy and Photoluminescence of Rod-Shaped Au₅₂(PET)₃₂ and Au₆₆(PET)₃₈ Synthesized Concurrently 期刊论文 OAI收割 ANGEWANDTE CHEMIE-INTERNATIONAL EDITION, 2024 作者: Gu, Wanmiao; Zhou, Yue; Wang, Wenying; You, Qing; Fan, Wentao \| 收藏 \| 浏览/下载：10/0 \| 提交时间：2024/11/22 gold nanocluster rod-shaped structure photothermy photoluminescence near-infrared region
	Soil organic matter content prediction using Vis-NIRS based on different wavelength optimization algorithms and inversion models 期刊论文 OAI收割 JOURNAL OF SOILS AND SEDIMENTS, 2023, 卷号: N/A 作者: Zhou, Wei; Xiao, Jieyun; Li, Haoran; Chen, Qi; Wang, Ting \| 收藏 \| 浏览/下载：15/0 \| 提交时间：2023/05/06 Soil organic matter Visible near-infrared spectroscopy Competitive adaptive reweighted sampling Random forest Three-rivers source region
	Tumor-Targeted Theranostic Probe for Near Infrared II Window Fluorescence Imaging and Anticancer Therapy of Triple-Negative Breast Cancer 期刊论文 OAI收割 CHINESE JOURNAL OF ANALYTICAL CHEMISTRY, 2022, 卷号: 50, 期号: 6, 页码: 912-923 作者: Zou Zhi-Feng; Gao Jing; Lai Yi; Xu Zhi-Ai \| 收藏 \| 浏览/下载：35/0 \| 提交时间：2022/08/16 Active targeting Near infrared II region fluorescence Photothermal therapy Theranostic Triple negative breast cancer
	Deep Learning-Based Solar-Cell Manufacturing Defect Detection With Complementary Attention Network 期刊论文 OAI收割 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2021, 卷号: 17, 期号: 6, 页码: 4084-4095 作者: Su, Binyi; Chen, Haiyong; Chen, Peng; Bian, Guibin; Liu, Kun \| 收藏 \| 浏览/下载：57/0 \| 提交时间：2021/05/06 Photovoltaic cells Feature extraction Proposals Task analysis Shape Convolution Visualization Attention network automatic defects detection near-infrared image region proposal network (RPN) solar cell
	Utility of Hepatic Transporters as Multimodal Gene Reporters for Cell-Based Medicine 期刊论文 OAI收割 SMALL METHODS, 2020, 页码: 13 作者: Padhiar, Arshad Ahmed; Faqeer, Abdullah; Sun, Shimin; Hamid, Md Rana; Liao, Jinqi \| 收藏 \| 浏览/下载：42/0 \| 提交时间：2021/01/07 hepatic transporters magnetic resonance imaging mesenchymal stem cells near-infrared region non-invasive multimodality imaging
	Development and radiance calibration of three-waveband camera (EI CONFERENCE) 会议论文 OAI收割 International Symposium on Photonics and Optoelectronics, SOPO 2010, June 19, 2010 - June 21, 2010, Chengdu, China 作者: Wang J.; Liu Y.; Liu Y.; Sun Q.; Liu Y. 收藏 \| 浏览/下载：32/0 \| 提交时间：2013/03/25 An imaging system with three-waveband sharing one lens and an area CCD was developed. By rotating different filters into the beam path the required waveband was selected. The optical system which can image in ultraviolet visible and near infrared region was designed and the signal collecting system was integrated. The optical design and system integration have some advantages such as low cost small size and light in weight. To obtain a high imaging quality the radiation calibration is carried out in order to establish the relation between the average grey level of output image and the input radiance from the integrating sphere. According to the calibration data in experiments the radiation dynamic range and the best working point of the system are determined. The experiment result shows that the dynamic range of the image system is maximal when the exposure time is 8ms in ultraviolet 0.5ms in visible and 0.125ms in near infrared region. 2010 IEEE.
	Fast determination of total ginsenosides content in Ginseng powder by near infrared reflectance spectroscopy (EI CONFERENCE) 会议论文 OAI收割 ICO20: Biomedical Optics, August 21, 2005 - August 26, 2005, Changchun, China 作者: Chen X.-D.; Chen X.-D. 收藏 \| 浏览/下载：27/0 \| 提交时间：2013/03/25 Near infrared (NIR) reflectance spectroscopy was used to develop a fast determination method for total ginsenosides in Ginseng (Panax Ginseng) powder. The spectra were analyzed with multiplicative signal correction (MSC) correlation method. The best correlative spectra region with the total ginsenosides content was 1660 nm1880 nm and 2230nm-2380 nm. The NIR calibration models of ginsenosides were built with multiple linear regression (MLR) principle component regression (PCR) and partial least squares (PLS) regression respectively. The results showed that the calibration model built with PLS combined with MSC and the optimal spectrum region was the best one. The correlation coefficient and the root mean square error of correction validation (RMSEC) of the best calibration model were 0.98 and 0.15% respectively. The optimal spectrum region for calibration was 1204nm-2014nm. The result suggested that using NIR to rapidly determinate the total ginsenosides content in ginseng powder were feasible.