In this section
We use light to develop advanced diagnostic tools, wearable sensors, and microscale robots for studying diseases and enabling minimally invasive treatments.
We use photonics to develop new technologies for medicine and to study the pathophysiology of disease. This includes new and improved diagnostic tools as well as microscale robotic devices for therapeutic applications. We use a variety of optical techniques for this purpose such as fluorescence, Raman and diffuse reflectance spectroscopy, as well as microscopy and interferometry. We develop devices ranging from wearable sensors and fibre-optic probes for minimally invasive diagnostics through to microscale robots for cellular-scale manipulation and therapy.
Our research has a number of potential clinical applications including improved monitoring of clinical therapies and interventions (e.g. in inflammatory bowel disease and malnutrition), early diagnosis of infection, and even margin mapping in tumour resection surgery.
The devices we are developing can potentially provide less invasive and lower cost diagnostics. In turn, this may facilitate patient benefits including earlier diagnosis, earlier identification of relapse (e.g. in therapy response monitoring applications), more widespread deployment and more comfortable patient experiences (e.g. through use of less invasive probes and sensors).
Dr Belal Ahmad
Imperial College Research Fellow
Dr Qian Chen
Clinical Research Fellow
Dr Ahmed Ezzat
Research Postgraduate
Dr Nilanjan Mandal
Research Associate in Optical Sensing for LMICs
Dr Alexander J Thompson
Senior Lecturer in Biomedical Sensing
Mr Zeyu Wang
Research Postgraduate
@article{Dryden:2021:10.1038/s41598-021-88026-9,
author = {Dryden, SD and Anastasova, S and Satta, G and Thompson, AJ and Leff, DR and Darzi, A},
doi = {10.1038/s41598-021-88026-9},
journal = {Scientific Reports},
pages = {1--10},
title = {Rapid uropathogen identification using surface enhanced Raman spectroscopy active filters.},
url = {http://dx.doi.org/10.1038/s41598-021-88026-9},
volume = {11},
year = {2021}
}
TY - JOUR
AB - Urinary tract infection is one of the most common bacterial infections leading to increased morbidity, mortality and societal costs. Current diagnostics exacerbate this problem due to an inability to provide timely pathogen identification. Surface enhanced Raman spectroscopy (SERS) has the potential to overcome these issues by providing immediate bacterial classification. To date, achieving accurate classification has required technically complicated processes to capture pathogens, which has precluded the integration of SERS into rapid diagnostics. This work demonstrates that gold-coated membrane filters capture and aggregate bacteria, separating them from urine, while also providing Raman signal enhancement. An optimal gold coating thickness of 50 nm was demonstrated, and the diagnostic performance of the SERS-active filters was assessed using phantom urine infection samples at clinically relevant concentrations (105 CFU/ml). Infected and uninfected (control) samples were identified with an accuracy of 91.1%. Amongst infected samples only, classification of three bacteria (Escherichia coli, Enterococcus faecalis, Klebsiella pneumoniae) was achieved at a rate of 91.6%.
AU - Dryden,SD
AU - Anastasova,S
AU - Satta,G
AU - Thompson,AJ
AU - Leff,DR
AU - Darzi,A
DO - 10.1038/s41598-021-88026-9
EP - 10
PY - 2021///
SN - 2045-2322
SP - 1
TI - Rapid uropathogen identification using surface enhanced Raman spectroscopy active filters.
T2 - Scientific Reports
UR - http://dx.doi.org/10.1038/s41598-021-88026-9
UR - https://www.ncbi.nlm.nih.gov/pubmed/33888775
UR - https://www.nature.com/articles/s41598-021-88026-9
UR - http://hdl.handle.net/10044/1/88349
VL - 11
ER -
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