Emission Spectrum

Emission Spectrum displays the wavelengths of light emitted as the fluorophore returns to its ground state. The emission spectrum generally shifts to a longer wavelength compared to the excitation spectrum, a phenomenon known as the Stokes shift.

• Fluorescence Excitation

🌵MATLAB snippet

Creating and visualizing an emission spectrum with MATLAB involves plotting the intensity of emitted light at different wavelengths. This can be used to analyze fluorescence data or model emission characteristics of fluorophores.

Here's how to create an emission spectrum in MATLAB:

Steps to Create an Emission Spectrum:

1. Generate or load data: You need a dataset containing wavelength values and corresponding fluorescence intensities. You can simulate data or import it from a file.

2. Plot the data: Use MATLAB's plotting functions to visualize the spectrum.

Example MATLAB Code:

 % Define the wavelength range (e.g., 400 to 700 nm)
 wavelength = 400:1:700;
 ​
 % Create a synthetic emission profile (Gaussian distribution as an example)
 peakWavelength = 520; % Center of the emission
 width = 30; % Width of the emission curve
 intensity = exp(-((wavelength - peakWavelength).^2) / (2 * width^2));
 ​
 % Plot the emission spectrum
 figure;
 plot(wavelength, intensity, 'b-', 'LineWidth', 2);
 xlabel('Wavelength (nm)');
 ylabel('Fluorescence Intensity (a.u.)');
 title('Emission Spectrum');
 grid on;

Explanation:

• Wavelength vector: Represents the range of wavelengths over which the emission is measured.

• Gaussian distribution: Used to simulate an emission peak, with peakWavelength as the central wavelength and width controlling the spread of the curve.

• Plot customization: The plot function is used to visualize the data, with axis labels and a title for clarity.

Customizing the Spectrum:

• Real data: Replace the synthetic data generation step with imported data if you have experimental measurements.

• Multiple peaks: Add more emission curves to simulate complex spectra by summing multiple Gaussian distributions.

Additional Features:

• Shading under the curve:

   fill(wavelength, intensity, 'b', 'FaceAlpha', 0.3);

• Smoothing data:

   smoothedIntensity = smooth(intensity, 5); % Smooth with a window size of 5
   plot(wavelength, smoothedIntensity, 'r-', 'LineWidth', 2);

This approach provides a basic way to model and plot an emission spectrum in MATLAB, which can be extended or customized based on your specific research or data needs.