1-The measurement is performed by any type of camera (professional or mobile camera) then take a picture (from the sample pad to the absorbent pad).
*Note: could be adapted according to the order of the bands
*and to reach an optimum result, crop the bands only and the strip is placed on a dark background.
3-crop the image to be fitted on the two lines:
4-submit then the result will show if it is positive or negative with a graph representation of the color ratio intensity.
Tool marking the bands to measure their intensity
Shows the different messages that the user will encounter after submission of different test results, showing different concentrations of the biomolecule of interest. We’ve tested our software using our whole-cell biosensor, which detected different concentrations of phenylalanine. (A) If the concentration is between 2 and 6 mg/dl, the results show that it’s a positive PKU test and the patient likely has PKU phenotype. (B) If the concentration is >= 6 until 12 mg/dl, the test shows positive results, with recommended dietary restriction. (C) If the test results are between 12 and 20 mg/dl, the test recommends medical attention for risk of intellectual disability. (D) if the test results are > 20mg/dl, the test gives a statement declaring that this is a classic PKU case, where urgent medical attention is needed. (E) If the concentration is < 2 mg/dl, the test give that this is a NEGATIVE PKU test.
After that, we did some modifications to the tool to work on a whole cell biosensor test strip to break all the barriers between the test and quantification to be an easy tool for everyone to use and let all the users and other iGEM teams quantify the results.
The tool detects that it is a positive PKU test
The tool detects that it is a negative PKU test
It isn't over yet
we develop a unique tool to calculate the percentage of dominant control color that can analyse any colour signal emitted from any colour-producing glassware with a histogram representation of color intensity and wavelength analysis which require two samples one as a control and the second as a test which can be used by all iGEM and non-iGEM teams to measure there results.
Colorimetric Analyzer software:
Our novel colorimetric analyzer software depends mainly on pixel intensity quantification. The user provides two images: a control and a test image. The purpose of the control image is to be used as a reference of the optimum test results, so as to be compared to the test image. It first converts the introduced images into several pixels with different intensities according to the number of colors presented in the analyzed pixel. These pixels are then encoded into a Red-Green-Blue Vector system, which constructs all the colors from the combination of the Red, Green, and Blue (RGB) colors. Following this, the software detects the most dominant color in both images based on the RGB system, and then converts those values to a hexadecimal string (HEX index) in the form of a six-digit combination of numbers and letters defined by its mix of (RGB) colours. Then, the software starts analysing the wavelengths of the detected colours in the sample, to detect the spectrum of colours present in the sample, which correspond to their range of wavelengths. This was achieved by converting the RGB values into Hue Saturation Values (HSV), which can then be converted into wavelength through the following equation: Wavelength=650 - 250 / 270 * HSV, where 650 is the maximum wavelength of the visible spectrum, 250 is the wavelength range and 270 is the Hue range. Note that the Hue represents the colour itself, the HSV indicates whether it’s dark or light. Finally, the test measures the absorbance of these wavelength by measuring the intensity of the dominant colour in the provided image.
Figure. Showing outputs 7, 8, 9, and 10 of the software tool. (A) And (B) figures show 2 histogram graphs analysing the pixels intensity of the provided images. (C) And (D) graphs show a relation between the wavelengths of the detected colour in the control and test images, respectively, when compared to the absorbance of these colours.
