Research Assistant at the Burns and Plastic Surgery Department of Shenzhen Institute of Translational Medicine (Shenzhen Second People's Hospital). Engaged in the research and development of diagnostic and therapeutic devices based on optoelectronic technology for nearly 10 years, involved in the development of 5 instruments. Principal investigator for 1 project funded by the National Youth Fund. Holder of 6 authorized patents.

September 2011 - July 2014, Hebei Medical University, Forensic Pathology, Master's degree

September 2005 - July 2010, Hebei Medical University, School of Basic Medicine, Forensic Medicine, Bachelor's degree

August 2014 - August 2018, Institute of Burns, Southwest Hospital, Third Military Medical University, Chinese People's Liberation Army, Research Assistant

September 2018 - April 2020, Department of Burns and Plastic Surgery, First Affiliated Hospital, Sun Yat-sen University, Research Assistant

April 2020 - Present, Department of Burns, Shenzhen Second People's Hospital, Research Assistant

Application of Optoelectronic Technology in Medicine and Development of Related Diagnostic and Therapeutic Devices

(1) Near-Infrared Spectroscopy Imaging System for Medical Use

(2) Medical Hydrodynamic Debridement System

(3) Femtosecond Laser Therapy Device

(4) Multi-Spectral X-ray Imaging System

(5) Electric Field-Coupled Negative Pressure Portable Therapy Device

National Natural Science Foundation of China, Youth Project, 81701904, Acquisition of characteristic near-infrared spectral fingerprints of common pathogenic bacteria in burns and study on the mechanisms of spectral fingerprint changes caused by structural variations, 190,000 RMB, January 2018 - December 2020, Completed, Principal Investigator.

Zhejiang Huzhou Nan Taihu Elite Program "Leading Entrepreneurial Team A-Class Project" - Development of Spectral Imaging Equipment Series for Precise Diagnosis of Wound.

Guangdong Provincial Natural Science Foundation, General Project, 2019A1515011233, Study on the effect of hypoxia preconditioning adipose-derived stem cells on lymphatic regeneration in diabetic mice wounds, October 2019 - September 2022, Ongoing, Participant.

Guangzhou Regenerative Medicine and Health Guangdong Laboratory Clinical Innovation Research Project, 2018G2R01007, International multicenter clinical study using self-developed near-infrared spectroscopy imaging equipment for precise diagnosis of burn wound depth, March 2019 - February 2022, Ongoing, Participant.

Chongqing Social Affairs and Livelihood Security Special Project, cstc2016shmszx40002, Development and application of skin burn depth detection system based on infrared spectroscopy, March 2016 - March 2019, 200,000 RMB, Completed, Participant.

（1）Meifang Yin,Mingzhou Yuan,Kai Deng,Jing Li,Guangya Zhang, Jiayuan Zhu, Weiping Xie,Jun Wu. Subcutaneous Low-density Foreign Bodies Detection via Grating-based Multimodal Xray Imaging.Journal of Digital Imaging, 2022 Jan 21. doi: 10.1007/s10278-021-00569-5.

（2）Meifang Yin,Jiangfeng Li,Lixian Huang, Yongming Li, Mingzhou Yuan, Yongquan Luo, Ubaldo Armato, Lijun Zhang, Dayong Zhang, Yating Wei, Yuanyuan Li, Jiawen Den, Pin Wang, Jun Wu.Identification of microbes in wounds via Near-Infrared Spectroscopy. Burns.Available online 17 September 2021. doi.org/10.1016/j.burns.

（3）Meifang Yin, Yongming Li, Yongquan Luo, Mingzhou Yuan, Ubaldo Armato, Ilaria Dal Prà, Lijun Zhang, Dayong Zhang, Yating Wei, Guang Yang, Lixian Huang, Pin Wang, Jun Wu.A novel method for objectively, rapidly and accurately evaluating burn depth via near infrared spectroscopy.Burns Trauma.2021 Jul 9;9:tkab014.doi: 10.1093/burnst/tkab014.

（4）Yuan Mingzhou, Yin Meifang, Zhang Lijun, Feng Jinghao,  Zhu Junyou,  Zhou Ziheng,  Shu Bin,  Zhou Fei,  Zhang Fangyingnan,Yin Hanxiao, Wang Xiaoyan, Qi Shaohai, Wu Jun.Selective debridement of burn wounds using hydrosurgery system.Int Wound J. 2019 Nov 29.

  (5) Pin Wang, Yao Cao, Meifang Yin, Yongming Li, Shanshan Lv, Lixian Huang, Dayong Zhang, Yongquan Luo, Jun Wu.Full-field burn depth detection based on near-infrared hyperspectral imaging and ensemble regression.Rev Sci Instrum.90(6):064103,2019 Jun.

（6）Wang pin，Yao Cao, Meifang Yin, Yongming Li, and Jun Wu.A burn depth detection system based on near infrared spectroscopy and ensemble learning.Rev Sci Instrum,88(11):114302,2017 Nov.

（7）粘永健，陈志强，薛冬冬，尹美芳^*.基于成像的烧伤深度诊断技术研究进展.中华烧伤杂志，32 (11):698- 701,2016.

2021年中国康复医学会科学技术奖一等奖

2022年首届全国卫生健康行业青年创新大赛入围全国决赛