ChhangMak
Introduction
Doctors often need to screen for oral cancer. When certain wavelengths of light are emitted into the mouth, cancerous and pre-cancerous tissues will have different fluorescent properties than healthy tissue. We can use this property to identify cancerous and pre-cancerous tissue in the mouth. However, in the mouth, emitted fluorescent light is often much weaker in magnitude than the reflected light we get from the light we put into the mouth in the first place.
Thus, we want to be able to create a light that excites the fluorescent areas of the mouth. We want to be able to detect this fluorescence, however weak the fluorescence may be relative to the reflected light, so that we can identify cancerous and pre-cancerous tissue in the mouth.
That the fluorescence is much weaker than the reflected light presents a challenge to us. We create a system where we pass a narrow bandwidth light (within the excitation spectrum of the fluorophore (a.k.a. fluorescent object) we want to measure) through a shortpass filter. The resultant light would ideally be one that does not have any light with wavelength outside of the excitation spectrum, so that we see as little of the reflected light as possible. This light is to hit the fluorophore and return to us via the camera. We pass the light heading into the camera through a longpass filter, again to allow fluorescent light through and block any reflected light.
This will allow us to detect the fluorescence in a standard camera with Bayer (red-green-green-blue) sensors. We would ideally want to present the camera's output to a doctor who can examine the fluorescence to screen for oral cancer. Thus, we want to optimize our filters and light such that the camera's output demonstrates a great amount of contrast between fluorescing and non-fluorescing parts of the image.
In this project, we use the ISETCam and ISETCamFluorescence repositories to simulate our camera, longpass filter, shortpass filter, light spectrum, and fluorophore. Using many simulations, we can find optimal cutoff wavelengths for our filters, optimal wavelengths for light emitted for each fluorophore tested.
A representation of our physical system that we simulate is produced below in the figure.
Background
Methods
Results
Conclusions
Appendix
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