The Centre has a long history of developing new techniques for medical imaging (particularly in magnetic resonance imaging), transforming them from a primarily diagnostic modality into an interventional and therapeutic platform. This is facilitated by the Centre's strong engineering background in practical imaging and image analysis platform development, as well as advances in minimal access and robotic assisted surgery. Hamlyn has a strong tradition in pursuing basic sciences and theoretical research, with a clear focus on clinical translation.

In response to the current paradigm shift and clinical demand in bringing cellular and molecular imaging modalities to an in vivo – in situ setting during surgical intervention, our recent research has also been focussed on novel biophotonics platforms that can be used for real-time tissue characterisation, functional assessment, and intraoperative guidance during minimally invasive surgery. This includes, for example, SMART confocal laser endomicroscopy, time-resolved fluorescence spectroscopy and flexible FLIM catheters.


Citation

BibTex format

@article{Keshavarz:2020:10.1039/c9nh00590k,
author = {Keshavarz, M and Kassanos, P and Tan, B and Venkatakrishnan, K},
doi = {10.1039/c9nh00590k},
journal = {NANOSCALE HORIZONS},
pages = {294--307},
title = {Metal-oxide surface-enhanced Raman biosensor template towards point-of-care EGFR detection and cancer diagnostics},
url = {http://dx.doi.org/10.1039/c9nh00590k},
volume = {5},
year = {2020}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AU - Keshavarz,M
AU - Kassanos,P
AU - Tan,B
AU - Venkatakrishnan,K
DO - 10.1039/c9nh00590k
EP - 307
PY - 2020///
SN - 2055-6756
SP - 294
TI - Metal-oxide surface-enhanced Raman biosensor template towards point-of-care EGFR detection and cancer diagnostics
T2 - NANOSCALE HORIZONS
UR - http://dx.doi.org/10.1039/c9nh00590k
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000511441800006&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
VL - 5
ER -