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| 1 | Sythesis and fluorescence of euroium - doped barium fluoride cubic nanocolumns 显示文摘 | Lian Hongzhou Liu Jie Ye Zeren | 2004 | Jourenal of Rare Earths2004，22，1： | 1 |
| 2 | 显示文摘 | LIAN HONGZHOU LIU JIE YE ZEREN | 2004 | Physics Letters2004，386，： | 1 |
| 3 | Luminescence proper- ties of CdSiO3 : Mn2+ phosphor显示文摘 | Bingfu Lei Yingliang Liu Zeren Ye | 2004 | Journal of Luminescence2004，109，34： | 1 |
| 4 | Luminescence properties of CdSiO3:Mn^2+ phosphor显示文摘 | Lei Bingfu Liu Yingliang Ye Zeren | 2004 | Journal of Luminescence2004，109，： | 1 |
| 5 | Deep learning for complex displacement field measurement显示文摘Traction force microscopy(TFM)is one of the most successful and broadly-used force probing technologies to quantify the mechanical forces in living cells.The displacement recovery of the fluorescent beads within the gel substrate,which serve as the fiducial markers,is one of the key processes.The traditional methods of extracting beads displacements,such as PTV,PIV,and DIC,persistently suffer from mismatching and loss of high-frequency information while dealing with the complex deformation around the focal adhesions.However,this information is crucial for the further analysis since the cells mainly transmit the force to the extracellular surroundings through focal adhesions.In this paper,we introduced convolutional neural network(CNN)to solve the problem.We have generated the fluorescent images of the non-deformable fluorescent beads and the displacement fields with different spatial complexity to form the training dataset.Considering the special image feature of the fluorescent images and the deformation with high complexity,we have designed a customized network architecture called U-DICNet for the feature extraction and displacement estimation.The numerical simulation and real experiment show that U-DICNet outperforms the traditional methods(PTV,PIV,and DIC).Particularly,the proposed U-DICNet obtains a more reliable result for the analysis of the local complex deformation around the focal adhesions. | LAN ShiHai SU Yong GAO ZeRen CHEN Ye TU Han ZHANG QingChuan | 2022 | Science China(Technological Sciences)2022，65，12： | 0 |
| 6 | Pilomatrixoma causing irreversible peripheral eyebrow shedding:A case report显示文摘Pilomatrixomas are benign tumors derived from hair stromal cells;however,their exact etiology is unknown.A 31-year-old woman presented with a subcutaneous mass located precisely above the left eyebrow,with shedding of eyebrow hair around the mass,and the shedding area gradually expanded.Surgical removal of the mass failed to prevent eyebrow loss,and the entire left eyebrow shed 6 months postoperatively.Pathology and histology of the biopsy specimen revealed a pilomatrixoma comprising basaloid cells and ghost cells,with basaloid cells expressing high bcl-2 levels.Instead of apoptosis,the emergence and growth of pilomatrixoma-induced microinflammation around the hair follicles of the eyebrow may lead to eyebrow loss. | Zeren Shen Fei Cheng Yanqin Dai Yijia Yu Lulu Ye Jinghong Xu | 2023 | Chinese Journal Of Plastic and Reconstructive Surgery2023，5，1： | 0 |
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