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.


BibTex format

author = {Wang, D and Qi, J and Huang, B and Noble, E and Stoyanov, D and Gao, J and Elson, DS},
doi = {10.1364/boe.451517},
journal = {Biomedical Optics Express},
pages = {2364--2364},
title = {Polarization-based smoke removal method for surgical images},
url = {},
volume = {13},
year = {2022}

RIS format (EndNote, RefMan)

AB - Smoke generated during surgery affects tissue visibility and degrades image quality, affecting surgical decisions and limiting further image processing and analysis. Polarization is a fundamental property of light and polarization-resolved imaging has been studied and applied to general visibility restoration scenarios such as for smog or mist removal or in underwater environments. However, there is no related research or application for surgical smoke removal. Due to differences between surgical smoke and general haze scenarios, we propose an alternative imaging degradation model by redefining the form of the transmission parameters. The analysis of the propagation of polarized light interacting with the mixed medium of smoke and tissue is proposed to realize polarization-based smoke removal (visibility restoration). Theoretical analysis and observation of experimental data shows that the cross-polarized channel data generated by multiple scattering is less affected by smoke compared to the co-polarized channel. The polarization difference calculation for different color channels can estimate the model transmission parameters and reconstruct the image with restored visibility. Qualitative and quantitative comparison with alternative methods show that the polarization-based image smoke-removal method can effectively reduce the degradation of biomedical images caused by surgical smoke and partially restore the original degree of polarization of the samples.
AU - Wang,D
AU - Qi,J
AU - Huang,B
AU - Noble,E
AU - Stoyanov,D
AU - Gao,J
AU - Elson,DS
DO - 10.1364/boe.451517
EP - 2364
PY - 2022///
SN - 2156-7085
SP - 2364
TI - Polarization-based smoke removal method for surgical images
T2 - Biomedical Optics Express
UR -
UR -
UR -
VL - 13
ER -