I have microscope images of spherical particles. What I need is diameter information and center to center distance of the nearest neighbor for all the particles.
I am using ImageJ (which is a free image processing software). I create a black and white image and split clustered particles with Paint. I enter the scale information and calculate the area with ImageJ. In Excel I convert the area data to diameter and create a histogram.
For nearest neighbor distance, I find maxima of the images (with ImageJ, after entering the scale) which corresponds the center of the particles. (For clustered particles I mark the center with white before.) I transfer the coordinate data to Excel. I have a Macro which calculates the nearest neighbor distance for each particle. Then I create the histogram.
I have 44 images for distance, 45 for size calculation. I will provide tools, however you are free to develop and use yours. Precision is very important. If you are familiar with image processing it is not a hard project.
I have 6 sets of images. What I need is:
For size:
1 - Size distribution data for each image,
2 - Black an white mask image,
3 - Size distribution data of each set (combined data).
For distance:
1 - Distance distribution data for each image,
2 - Distance distribution data for each set.
You can see the samples here:
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