Leveraging single-cell Raman spectroscopy and single-cell sorting for the detection and identification of yeast infections
Jingkai Wang(University of Science and Technology of China), Yizhi Song(Chinese Academy of Sciences), Siyu Meng(Chinese Academy of Sciences), Xingwang Qie(Chinese Academy of Sciences), Jian He(Korea Institute of Brain Science), Xiaogang Xu(Fudan University), Xiaofei Yi(Fudan University), Huijie Hu(University of Science and Technology of China), Yuguo Tang(Chinese Academy of Sciences), Dayi Zhang(Jilin University), Zhiqiang Zhang(Chinese Academy of Sciences), Yixiang Sun(Chinese Academy of Sciences), Wei E. Huang(University of Oxford), Na He(Chinese Academy of Sciences), Kaicheng Lin(Chinese Academy of Sciences)
Cited by 21
Related Papers
RT‐LAMP for rapid diagnosis of coronavirus SARS‐CoV‐2
|Microbial Biotechnology|2020|527
Tracking heavy water (D <sub>2</sub> O) incorporation for identifying and sorting active microbial cells
|Proceedings of the National Academy of Sciences|2014|474
Raman Microscopic Analysis of Single Microbial Cells
|Analytical Chemistry|2004|416
Role of the surface effect on the structural, electronic and mechanical properties of the carbide MXenes
|Europhysics Letters (EPL)|2015|400