Hi everyone, I am analyzing the difference in each green fluorescent mitochondria from Image 1 to Image 2 (in the first image they appear very circular and in the second they are elongated).
Currrently, I am attempting to find the difference in area for each mitochondria by using Fiji. In both images, I use thresholding and “analyze particles” to determine the area of each fluorescent labeled mitochondria (there are about 126 mitochondria per image detected). I then determine the change is area (and whether there is significance) of each labeled mitochondria. My workflow is shown below.
// open file
open(“C:/Users/toral/Desktop/6_30 HAC15 30uM BDE_7-1 hi res.jpg”);
// convert to 8 bit image
// threshold (%0.15)
// Analyze particles
run(“Convert to Mask”);
run(“Analyze Particles…”, " show=[Count Masks] display add");
selectWindow(“Count Masks of 6_30 HAC15 30uM BDE_7-1 hi res.jpg”);
My question- is this the best way to find the difference between each mitochondria in the two images? Is there a more efficient way to do this?
I believe a more efficient way would be to only find the change in length (not area) for each mitochondria. However, I am very new to Fiji and image analysis and do not know where to start. Any help is appreciated and as always, thank you!