Hello . I have a series of SEM images in which there are some nanorods and nanoparticles. I want to see how many percent of nanorods and what percent of nanoparticles are there and separate them by color. Does anyone know how to do this with MATLAB software?
Maryam Sharifian Analyzing SEM images of nanoparticles and nanorods using MATLAB involves several steps. Here's a step-by-step guide to get you started:
Below is a simplified representation of the MATLAB code that could be used for these steps:
matlab
% Step 1: Load and preprocess the image image = imread('SEM_image.jpg'); gray_image = rgb2gray(image); % Step 2: Segmentation of nanoparticles and nanorods binary_nanoparticles = imbinarize(gray_image, threshold_value_nanoparticles); binary_nanorods = imbinarize(gray_image, threshold_value_nanorods); % Step 3: Feature extraction and analysis stats_nanoparticles = regionprops(binary_nanoparticles, 'Area'); stats_nanorods = regionprops(binary_nanorods, 'Area'); total_area = size(gray_image, 1) * size(gray_image, 2); percentage_nanoparticles = sum([stats_nanoparticles.Area]) / total_area * 100; percentage_nanorods = sum([stats_nanorods.Area]) / total_area * 100; % Step 4: Data visualization and reporting figure; subplot(1, 2, 1); imshow(binary_nanoparticles); title('Segmented Nanoparticles'); subplot(1, 2, 2); imshow(binary_nanorods); title('Segmented Nanorods'); disp(['Percentage of Nanoparticles: ', num2str(percentage_nanoparticles), '%']); disp(['Percentage of Nanorods: ', num2str(percentage_nanorods), '%']);
Make sure to replace the placeholder values and parameters with appropriate values specific to your SEM images. Additionally, consider adjusting the code as needed based on the specific characteristics of your images and the desired analysis.
The answer provided by Qamar Ul Islam is obviously AI generated, but the proposed code would somehow work. If you need real help with the software I have experience doing similar things in Matlab, so you may contact me. :)
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