Stephen Mead
at Univ of Cambridge
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Profile Summary

Early diagnosis of precursor lesions that can lead to oesophageal or lung cancer is a key clinical unmet need. My interest is in developing endoscopic imaging tools that can provide sufficient contrast to track lesion progression. To meet this objective, I am working on multispectral systems that can measure optical absorption and scattering biomarkers.
Publications (4)

Proceedings Article | 16 March 2023 Presentation
Travis Sawyer, Graham Spicer, Stephen Mead, Massimiliano Di Pietro, Ashraf Sanduka, Tae Kim, Makenna Aitken, Faith Rice, Bhaskar Banerjee, Hemanth Gavini, Aws Alameri, Sarah Bohndiek, Jennifer Barton
Proceedings Volume PC12391, PC123910Y (2023) https://doi.org/10.1117/12.2652958
KEYWORDS: Cancer, Tissues, Elastography, Coherence (optics), Tissue optics, Tumors, Endoscopy, Visualization, Structural imaging, Standards development

Proceedings Article | 6 March 2023 Presentation
Proceedings Volume PC12373, PC1237305 (2023) https://doi.org/10.1117/12.2649304
KEYWORDS: Cameras, Hyperspectral imaging, Visible radiation, Tissues, Infrared radiation, Infrared imaging, Infrared cameras, Cancer, Quantum efficiency, Tissue optics

SPIE Journal Paper | 12 December 2022 Open Access
JBO, Vol. 27, Issue 12, 126002, (December 2022) https://doi.org/10.1117/12.10.1117/1.JBO.27.12.126002
KEYWORDS: Light emitting diodes, Capillaries, LED lighting, Oxygenation, Blood, Reflectivity, Multispectral imaging, Modeling, Imaging systems, Systems modeling

Proceedings Article | 5 March 2021 Presentation
Proceedings Volume 11651, 116510J (2021) https://doi.org/10.1117/12.2575869
KEYWORDS: Light emitting diodes, Oximetry, Capillaries, Visualization, Reflectivity, RGB color model, Modeling, Imaging systems, Hypoxia, Control systems

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