Test Kit (Hardware)
Hardware Overview:
Our hardware system uses an open-source, low-cost lock-in amplifier developed by the Norwegian University of Science and Technology (NTNU)[13]. This device is used for detecting fluorescence, which is important as it indicates a positive result for our diagnostics test. For more details, head over to our hardware page.
Figure 1: Overview of the hardware system. The cuvette containing the sample mixed probes is excited by an LED, causing the probes to fluoresce. This light then passes through the Band-Pass filter, reducing the LED light that will reach the sensor, meaning the fluorescent signal can then measured with reduced noise. The Sensor is an amplified photodiode that converts the fluorescent signal into an electrical signal.
Mechanism:
The process first begins when the fluorophore and quencher of the probes are separated. This leaves the fluorophores isolated, which means they can then be excited at a specific wavelength, causing an emission of light (the fluorescence) at a higher wavelength. A flashing Light Emitting Diode (LED) is used to excite the fluorophore, the fluorescence then passes through an optical band-pass filter, which only allows light within a certain wavelength band to pass through.
Signal Processing:
An amplified photodiode detects the filtered light, converting it into an electrical signal. The amplified photodiode physically converts the input signal that is in a negative to positive voltage range into a modulated (just positive) output voltage range. This analogue signal is then sent to a microcontroller, where digitally the lock-in amplification process begins[13].
Digital Lock-in Amplification:
The analogue input signal is sampled at discrete time, i.e. the voltage is recorded successively at a fixed time interval. After a sample is taken, two reference signals are updated. To ensure the fluorescence signal and reference signal have a constant phase and identical frequency the LED is switched on and off at regular intervals. The individual reference signals and analogue signal are multiplied together, which are then computationally filtered (further reducing noise) using a model exponential curve. These are then combined together to produce a single output [13,14].
Data Transmission and Interpretation:
The processed output is then sent transmitted to a mobile phone app via Bluetooth. The app interprets the data, providing the user both with a read-out of the voltages with respect to time and whether it is likely if the cow being tested has bTB.