Why Cloud Computing?
Screening and early detection of precancerous lesions using white light is subjective, and ensuing biopsies are painful and time consuming, with low diagnostic accuracy, high costs and long wait period. Our mission is to make cancer screening so accurate, painless and affordable that anyone can walk into a clinic for checkup and get the results in less than 5 minutes.
In order to achieve this, we use proprietary software to capture multispectral images of tissue fluorescence and diffuse reflectance on illumination with specific wavelengths of light matching the absorption of protoporphyrin IX and oxygenated hemoglobin in tissue. The captured monochrome images are processed to quantitatively assess the extent and nature of tissue abnormality in real time with the help of a cloud based machine learning algorithm developed by correlation of image data with histopathological results of biopsy.