林宏心

发布者:陈希文 发布时间:2021-11-04 浏览次数:1282

  • 个人简介:

林宏心,女,2019年获得福建师范大学光学博士学位,并于同年2-5月在澳门大学健康科学学院访学,现为光电与信息工程学院高级实验师。主要研究方向为生物医学光学成像、纳米材料成像,先后在Advanced functional materialsAdvanced optical materialsNanoscaleJournal of BiophotonicsBiomedical Optics ExpressJournal of Physics D: Applied Physics等期刊发表SCI论文10余篇。

  • 研究方向:

生物医学光学、纳米材料成像

  • 代表性论文

  • (1) Qingqing Li#, Luntao Liu#, Hongqi Huo#, Lichao Su, Ying Wu, Hongxin Lin*, Xiaoguang Ge, Jing Mu*, Xuan Zhang, Liting Zheng, and Jibin Song*, Nanosized Janus AuNR-Pt Motor for Enhancing NIR-II Photoacoustic Imaging of Deep Tumor and Pt 2+ Ion-Based Chemotherapy, ACS Nano, 2022, 16, 7947-7960. (SCI-I TOP, IF=15.881)

    (2) Wei Wang#, Chenlu Wang#, Guoming Liu#, Long Jin, Zexi Lin, Lisheng Lin, Ying Wu, Jianxin Chen, Hongxin Lin*, and Jibin Song*, In-vivo two-photon visualization and quantitative detection of redox state of cancer, Journal of Biophotonics, 2022, 15, e202100357. (SCI-III, IF=3.207)

    (3) Zhifang Li#, Cheng Zhang#, Xuan Zhang#, Jian Sui, Long Jin, Lisheng Lin, Qinrui Fu, Hongxin Lin*, and Jibin Song*, NIR-II Functional Materials for Photoacoustic Theranostics, Bioconjugate Chemistry, 2022, 33, 67-86. (SCI-II, IF=4.774)

    (4) Chenlu Wang, Meng Niu, Wei Wang, Lichao Su, Hongjuan Feng, Hongxin Lin*, Xiaoguang Ge, Rongrong Wu, Qian Li, Jianyong Liu, Huanghao Yang, and Jibin Song*, In Situ Activatable Ratiometric NIR-II Fluorescence Nanoprobe for Quantitative Detection of H2S in Colon Cancer, Analytical Chemistry, 2021, 93(27), 9356–9363. (SCI-II TOP, IF=6.986)

    (5) Chenlu Wang#, Hongxin Lin#, Xiaoguang Ge, Jing Mu, Lichao Su, Xuan Zhang, Meng Niu, Huanghao Yang, and Jibin Song*, Dye-Sensitized Downconversion Nanoprobes with Emission Beyond 1500 nm for Ratiometric Visualization of Cancer Redox State, Advanced functional materials, 2021, 31(16), 2009942. (SCI-I TOP, IF= 18.808)

    (6) Hongxin Lin#, Zexi Lin#, Konghua Zheng, Chenlu Wang, Lisheng Lin, Jianxin Chen, Jibin Song*, Near-Infrared-II Nanomaterials for Fluorescence Imaging and Photodynamic Therapy, Advanced optical materials, 2021, 9(9), 2002177. (SCI-I TOP, IF= 18.808)

    (7) Hongxin Lin#, Lijiao Yang#, Xuan Zhang, Guoming Liu, Shuangmu Zhuo, Jianxin Chen, and Jibin Song*, Emerging Low-Dimensional Nanoagents for Bio-Microimaging, Advanced Functional Materials, 2020, 30(40), 2003147. (SCI-I TOP, IF= 16.836)

    (8) Hongxin Lin#, Jianlei Xie#, Taojian Fan, Youwu He, Jianxin Chen, Han Zhang*, and Shuangmu Zhuo*, Rapid prediction of drug inhibition under heat stress: single-photon imaging combined with a convolutional neural network, Nanoscale, 2020, 12(45), 23134-23139. (SCI-I TOP, IF= 6.895)

    (9) Hongxin Lin#, Taojian Fan#, Jian Sui#, Guangxing Wang, Jianxin Chen, Shuangmu Zhuo*, and Han Zhang*, Recent advances in nanomaterials combined with multi-photon microscopy for the field of disease evolution and clinical applications of liver cancer, Nanoscale, 2019, 11(42), 19619-19635. (SCI-I TOP, IF= 6.970)

    (10) Hongxin Lin#, Chao Wei#, Guangxing Wang, Hu Chen, Lisheng Lin, Ming Ni, Jianxin Chen, Shuangmu Zhuo*, Automated classification of hepatocellular carcinoma differentiation using multiphoton microscopy and deep learning, Journal of Biophotonics, 2019, 12(7), e201800435. (SCI-II TOP, IF= 3.763)

    (11) Hongxin Lin#, Chao Wei#, Ning Cao, Hu Chen, Guangxing Wang, Jianxin Chen, Guannan Chen, and Shuangmu Zhuo*, A novel low-signal image enhancement method for multiphoton microscopy, Journal of Physics D: Applied Physics, 2019, 52, 285401. (SCI-III, IF= 2.829)

    (12) Hongxin Lin#, Liyan Lin#, Guangxing Wang, Ning Zuo, Zhenlin Zhan, Shusen Xie, Gang Chen, Jianxin Chen, and Shuangmu Zhuo*, Label-free classification of hepatocellular-carcinoma grading using second harmonic generation microscopy, Biomedical Optics Express, 2018, 9(8), 3783-3793. (SCI-III, IF=3.482)


  • 科研项目

  1. 国家自然科学基金青年项目,多光子成像技术对浸润性肺腺癌亚型的辅助诊断与分类,2021/01-2023/1224万元,主持。

  2. 福建省自然科学基金面上项目,基于多光子成像技术的移植肾纤维化精确分级研究,2018/04-2021/048万元,主持。

  3. 国家自然科学基金面上项目,基于多光子显微技术的肝癌精准诊断及预后评估研究2018/01-2021/1265

  4. ,参与。

  5. 福建省杰出青年基金滚动项目,肝癌精准诊断及预后评估的多光子显微新技术研究,2018/04-2021/0440万元,参与。


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