OralScan
USP: This is the first time that a camera has been integrated into a multimodal imaging device for oral cancer screening. The device is affordable and easy to use in the clinical environment. It is useful is assessing the grade of cancer at the point of care with the help of a machine learning algorithm. The technology used can be utilised to delineate tissue margin during surgery and be adapted for screening of other organs such as the cervix, colon, and GI tract by coupling to an endoscope.
- Innovator's Name
- Product/Technology Description
SASCAN MEDITECH PRIVATE LIMITED
The R&D facility of the company is getting relocated to TIMed Incubation Centre, SCTIMST, Thiruvananthapuram in April 2018 and the company plans to use the facilities at TIMed for device manufacture. We plan to engage representatives in different regions for marketing.
- Product Name: OralScan
- Product Title: A handheld imaging camera for detection of oral cancer and biopsy guidance
- Description: OralScan is a hand-held multispectral imaging camera for screening and detection of oral cancer at the point of care using tissue fluorescence and diffuse reflectance images captured at multiple wavelengths. The device consists of LEDs emitting at four different wavelengths and a monochrome camera for recording of the light emitted from the oral cavity at specific wavelengths. The device is controlled through proprietary software run on a Windows Tablet, which controls capture of images synchronously with LED triggering and processes these images in real time to detect cancer with the help of a machine learning algorithm. The device also marks lesion boundaries and locates the most malignant site for tissue biopsy, thereby avoiding under diagnosis and unnecessary treatments.
- Unique Selling Point: This is the first time that a camera has been integrated into a multimodal imaging device for oral cancer screening. The device is affordable and easy to use in the clinical environment. It is useful is assessing the grade of cancer at the point of care with the help of a machine learning algorithm. The technology used can be utilised to delineate tissue margin during surgery and be adapted for screening of other organs such as the cervix, colon, and GI tract by coupling to an endoscope.
