Rosewood is a kind of high-quality and precious wood in China.The correct identification of rosewood species is of great significance to the import and export trade and species identification of furniture materials.In...Rosewood is a kind of high-quality and precious wood in China.The correct identification of rosewood species is of great significance to the import and export trade and species identification of furniture materials.In this paper,micro CT was used to obtain the micro images of CTOSS sections,radial sections and tangential sections of 24 kinds of rosewood,and the data sets were constructed.PCA method was used to reduce the dimension of four features including logical binary pattern,local configuration pattern,rotation invariant LBP,uniform LBP.These four fea-tures and one feature not reducing dimension(rotation invariant uniform LBP)was fused with Gray Level Co-Occurrence Matrix and Tamura features,respectively,a total of five fused features LBP+GLCM+Tamura,LCP+GLCM+Tamura,LBP_(P,R)^(u2)+GLCM+Tamura,LBP_(P,R)^(ri)+GLCM+Tamura and LBP_(P,R)^(riu2)+GLCM+Tamura were obtained.The five fused features were classified by extreme learning machine and BP neural network.The clas-sification effect of feature LBP_(P,R)^(u2)+GLCM+Tamura combined with extreme learning machine was the best,and the classification accuracy of CroSS,radial and tangential sections reached 100%,97.63%and 94.72%,respectively,which is 0.83%,2.77%and 5.70%higher than that of BP neural network.The classification running time of ELM is less than 1 s,and the classfcation eficiency is high.In condusion,the LBP_(P,R)^(u2)+GLCM+Tamura method com-bined with extreme learning machine can be used as a quick and acurate classifier,providing an efficient and feasible class ification method of rosewood.展开更多
Nucleic acid sensing is a 3 decades old but still challenging area of application for different biological sub-domains,from pathogen detection to single cell transcriptomics analysis.The many applications of nucleic a...Nucleic acid sensing is a 3 decades old but still challenging area of application for different biological sub-domains,from pathogen detection to single cell transcriptomics analysis.The many applications of nucleic acid detection and identification are mostly carried out by PCR techniques,sequencing,and their derivatives used at large scale.However,these methods’limitations on speed,cost,complexity and specificity have motivated the development of innovative detection methods among which nucleic acid biosensing technologies seem promising.Toehold switches are a particular class of RNA sensing devices relying on a conformational switch of secondary structure induced by the pairing of the detected trigger RNA with a de novo designed synthetic sensing mRNA molecule.Here we describe a streamlined methodology enabling the development of such a sensor for the RNA-mediated detection of an endangered plant species in a cell-free reaction system.We applied this methodology to help identify the rosewood Dalbergia maritima,a highly trafficked wood,whose protection is limited by the capacity of the authorities to distinguish protected logs from other unprotected but related species.The streamlined pipeline presented in this work is a versatile framework enabling cheap and rapid development of new sensors for custom RNA detection.展开更多
基金The Natural Science Foundation of Shandong Province,China(Grant No.ZR2020QC174)The Application of Computed Tomography(CT)Scanning Technology to Damage Detection of Timber Frames of Architectural Heritage.The Taishan Scholar Project of Shandong Province,China(Grant No.2015162).
文摘Rosewood is a kind of high-quality and precious wood in China.The correct identification of rosewood species is of great significance to the import and export trade and species identification of furniture materials.In this paper,micro CT was used to obtain the micro images of CTOSS sections,radial sections and tangential sections of 24 kinds of rosewood,and the data sets were constructed.PCA method was used to reduce the dimension of four features including logical binary pattern,local configuration pattern,rotation invariant LBP,uniform LBP.These four fea-tures and one feature not reducing dimension(rotation invariant uniform LBP)was fused with Gray Level Co-Occurrence Matrix and Tamura features,respectively,a total of five fused features LBP+GLCM+Tamura,LCP+GLCM+Tamura,LBP_(P,R)^(u2)+GLCM+Tamura,LBP_(P,R)^(ri)+GLCM+Tamura and LBP_(P,R)^(riu2)+GLCM+Tamura were obtained.The five fused features were classified by extreme learning machine and BP neural network.The clas-sification effect of feature LBP_(P,R)^(u2)+GLCM+Tamura combined with extreme learning machine was the best,and the classification accuracy of CroSS,radial and tangential sections reached 100%,97.63%and 94.72%,respectively,which is 0.83%,2.77%and 5.70%higher than that of BP neural network.The classification running time of ELM is less than 1 s,and the classfcation eficiency is high.In condusion,the LBP_(P,R)^(u2)+GLCM+Tamura method com-bined with extreme learning machine can be used as a quick and acurate classifier,providing an efficient and feasible class ification method of rosewood.
文摘Nucleic acid sensing is a 3 decades old but still challenging area of application for different biological sub-domains,from pathogen detection to single cell transcriptomics analysis.The many applications of nucleic acid detection and identification are mostly carried out by PCR techniques,sequencing,and their derivatives used at large scale.However,these methods’limitations on speed,cost,complexity and specificity have motivated the development of innovative detection methods among which nucleic acid biosensing technologies seem promising.Toehold switches are a particular class of RNA sensing devices relying on a conformational switch of secondary structure induced by the pairing of the detected trigger RNA with a de novo designed synthetic sensing mRNA molecule.Here we describe a streamlined methodology enabling the development of such a sensor for the RNA-mediated detection of an endangered plant species in a cell-free reaction system.We applied this methodology to help identify the rosewood Dalbergia maritima,a highly trafficked wood,whose protection is limited by the capacity of the authorities to distinguish protected logs from other unprotected but related species.The streamlined pipeline presented in this work is a versatile framework enabling cheap and rapid development of new sensors for custom RNA detection.
