Imperial College London

Dr Neil T Clancy

Faculty of MedicineDepartment of Surgery & Cancer

Honorary Research Associate



+44 (0)20 7594 1707n.clancy




Bessemer BuildingSouth Kensington Campus





I am an Imperial College Junior Research Fellow in the Department of Surgery and Cancer, and the Hamlyn Centre for Medical Robotics. My research activities are centred around the development of optical technologies that can be used in minimally invasive diagnosis and surgery. These methods aims to give more feedback to the clinician in the form of structural and functional information on the health of the tissue. This includes classification of tissue pathology, oxygenation mapping, blood flow/perfusion and detection of structural abnormalities.

Some of my current work is outlined in the table below.

Current Projects

Technique Clinical Application
Hyperspectral & Multispectral Reflectance and Fluorescence Imaging Detection and identification of diseased tissue; endoscopic polyp identification
Polarisation Imaging Depth-sensitive vessel identification; detection of abnormal tissue development
Multispectral Oxygen Saturation Mapping Intraoperative perfusion monitoring: organ transplantation, bowel anastomoses, arterio-venous fistulae 
Simultaneous Multispectral and 3D Imaging Correction of in vivo motion artefacts; deblurring 
Structured Light 3D Imaging Deformation recovery; augmented reality
Liquid Lens-Based Endoscope Gaze-contingent autofocus


Previous work has involved the development of a device to detect changes in the skin's mechanical properties using an indentor and optical tracking system. Other work on the skin included monitoring red blood cell concentration using polarisation spectroscopy and following the response of the microcirculation to compression and irritation.

I am a graduate of the University of Limerick in Ireland, where I received my BSc in Applied Physics, followed by a PhD in 2009.



Zhang Y, Wirkert SJ, Iszatt J, et al., 2017, Tissue classification for laparoscopic image understanding based on multispectral texture analysis, Journal of Medical Imaging, Vol:4, ISSN:2329-4302

Clancy NT, Saso S, Stoyanov D, et al., 2016, Multispectral imaging of organ viability during uterine transplantation surgery in rabbits and sheep, Journal of Biomedical Optics, Vol:21, ISSN:1083-3668

Wirkert SJ, Kenngott H, Mayer B, et al., 2016, Robust near real-time estimation of physiological parameters from megapixel multispectral images with inverse Monte Carlo and random forest regression, International Journal of Computer Assisted Radiology and Surgery, Vol:11, ISSN:1861-6410, Pages:909-917


Saso S, Jones B, Clancy N, et al., 2016, Imaging of organ viability during deep pelvic surgery: The use of biomedical photonics to assess uterine perfusion and vessel integrity in uterine transplantation models, WILEY-BLACKWELL, Pages:20-20, ISSN:1470-0328

, 2016, Flexible multimode endoscope for tissue reflectance and autofluorescence hyperspectral imaging

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