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Early diagnosis and bioimaging of lung adenocarcinoma cells/organs based on spectroscopy machine learning 被引量:1
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作者 Xiangrong Peng Ruiyi Dai +4 位作者 yaqun ma Bi Lin Xin Hui Xueli Chen Ruichan Lv 《Journal of Innovative Optical Health Sciences》 SCIE EI CAS 2022年第2期68-82,共15页
Early diagnosis and fast detection with a high accuracy rate of lung cancer are important to improve the treatment effect.In this research,an early fast diagnosis and in vivo imaging method for lung adenocarcinoma are... Early diagnosis and fast detection with a high accuracy rate of lung cancer are important to improve the treatment effect.In this research,an early fast diagnosis and in vivo imaging method for lung adenocarcinoma are proposed by collecting the spectral data from normal and patients'cells/tissues,such as Fourier infrared spectroscopy(FTIR),UV-vis absorbance,and fluorescence spectra using anthocyanin.The FTIR spectra of human normal lung epithelial cells(BEAS-2B cells)and human lung adenocarcinoma cells(A549 cells)were collected.After the data is cleaned,a feature selection algorithm is used to select important wavelengths,and then,the classification models of support vector machine(SVM)and the grid search method are used to select the optimal model parameters(accuracy:96.89%on the training set and 88.57%on the test set).The optimal model is used to classify all samples,and the accuracy is 94.37%.Moreover,the anthocyanin was prepared and used for the intracellular absorbance and fluorescence,and the optimized algorithm was used for classification(accuracy:91.38%on the training set and 80.77%on the test set).Most importantly,the in vivo cancer imaging can be performed using anthocyanin.The results show that there are differences between lung ade-nocarcinoma and normal lung tissues at the molecular level,reflecting the accuracy,intui-tiveness,and feasibility of this algorithm-assistant anthocyanin imaging in lung cancer diagnosis,thus showing the potential to become an accurate and effective technical means for basic research and clinical diagnosis. 展开更多
关键词 Early diagnosis and bioimaging SPECTRA machine learning
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Coumarin derivative dye sensitized NaYGdF4:Yb,Er nanoparticles with enhanced NIR Ⅱ luminescence for bio-vascular imaging
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作者 yaqun ma Zhan Wang +3 位作者 Yanxing Wang Zhenghao Liu Yukun Wang Ruichan Lv 《Journal of Rare Earths》 SCIE EI CAS CSCD 2023年第12期1843-1849,I0001,共8页
Lanthanide-doped biocompatible nanoparticles have promising applications in near-infrared second region imaging due to their high chemical stability,enhanced photostability and sharp emission bandwidth.However,the wea... Lanthanide-doped biocompatible nanoparticles have promising applications in near-infrared second region imaging due to their high chemical stability,enhanced photostability and sharp emission bandwidth.However,the weak light absorption capacity limits the application of rare-earth nanoparticles(RENPs) for bioimaging.We prepared a coumarin-derived dye sensitized NaYGdF4:Yb,Er nanoparticle probe,in which the organic dye enhances photon absorption through the sensitization process,improving the luminescence efficiency of the rare earth particles near 1000 and 1500 nm.In addition,good water solubility and stability of the probe are imparted by coating the particles with amphiphilic polymers distearoyl phosphatidylethanolamine-polyethylene glycol(DSPE-PEG) and polyacrylic acid.This composite probe with good biocompatibility and NIR Ⅱ luminescence properties can be used for vascular imaging,providing a tool for the detection of hematologic-related diseases. 展开更多
关键词 Rare earth doped nanoparticles Dye sensitization NIR imaging ANGIOGRAPHY
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