Postgraduate research students

Traditional methods for cell identification and tracking in biomedical diagnosis often require immunostaining or fluorescence labelling. These processes are not only lengthy but often compromise cell viability. Raman spectroscopy is a non-invasive, label-free method for analysis of cells and tissue. A Raman spectrum consists of thousands of Raman "fingerprints" that reveal the whole chemical composition of the sample. In recent years, Raman spectroscopy has been rapidly implemented in clinical diagnosis, biology, and life science. However, Raman signals are inherently weak and require long-time acquisition. This makes it highly challenging to collecting weak signals from living cells for fast spectroscopic analysis in high throughput processes (e.g., sorting) and for real-time study of dynamic changes in cells. Furthermore, the diversity and uncertainty of biological information also impose significant challenges to signal processing. The project will focus on weak Raman signal processing algorithm design, biological experiments verification and platform improvements.

List by: Type | Date

• Professor Huabing Yin
• Dr Jiabao Xu
• Professor Bo Liu

External supervisors

• Professor Lingjiang Kong
• Professor Wei Yi

Third place in 2023 Scottish student sports - table tennis (single and double)