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Endoscopic scanning probe device for rapid screening of hollow organs dysplasia

Reference number: 7227


GI endoscopy is the gold-standard procedure for detection and treatment of dysplastic lesions and early stage cancers. Despite its proven effectiveness, its sensitivity remains suboptimal due to the subjective nature of the examination, which is substantially reliant on human-operator skills. For bowel cancer, colonoscopy can miss up to 22% of dysplastic lesions, with even higher miss rates for small (<5 mm diameter) and flat lesions.



  • The device has been validated in vitro and is currently being validated on GI tissue.

  • The device acquires spatially-registered HS data and reconstruct it as 2D and 3D images with sub-mm resolution.

  • Single-point HS sensors obtain 0.6 mm-deep rich diagnostic optical biopsy data. With the device, full images can be generated by accurate actuation of a radial array of multiple single probes.

  • Real-time automated image segmentation is achieved via machine learning classification of acquired HS data, allowing the generation of a “hot-spot” map.

  • Current size is compatible with the anatomical dimensions of the colon and oesophagus, but further miniaturisation is possible.

  • The mechatronic framework could be used with other optical and non-optical single-point probe modalities (Fluorescence, FLIM, Polarised, Confocal, Raman, OCT, US).

  • Aims to improve the adenoma detection rate of endoscopy operators independently of their skills.

  • Special focus on the automated detection of small flat dysplastic lesions (<5mm) which are often missed by conventional methods.

  • The device works as an add-on overtube accessory to any conventional endoscope. Could be included as a fixed-feature in future endoscope designs.

  • In principle, other non-GI hollow organs (upper airway, bronchi, bladder) could be scanned with miniaturised versions.


A team at Imperial College London led by Dr George Mylonas and Prof Daniel Elson developed the EndoDrone. The proposed system seeks to improve the sensitivity of GI endoscopy by automated scanning and real-time classification of wide tissue areas based on their hyperspectral optical biopsy features. A “hot-spot” map is generated to highlight dysplastic or cancerous lesions for further scrutiny or concurrent resection.

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Nour Allouache

Industry Partnerships and Commercialisation Officer, Medicine


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