Improve sensitivity of device increasing limit of detection to 20 nM concentration
Streamline process of fluorescent imaging for ease of operation in clinical settings
Automate imaging process and post-imaging analysis with ImageJ
Testing system using fluorescently spiked biological sample
Collinear alignment of LED, LFA strip, dichroic filter, and camera
Simplified travel of excitation and emission beams ensures maximal signal capture
Image capture settings must be adjusted in the Python IDE (right) to maximize fluorescent signal while reducing background noise
Prioritized Parameters:
Shutter Speed
ISO
Exposure
Image processing software (ImageJ) is used to adjust threshold values and detect fluorescence and TBI
Drastically reduces background noise and interference from ambient light
Allows for higher sensitivity and increased range of detection
Crucial in detection of lower concentration of TBI and optimized ImageJ settings with each image taken