I am totally new in image analysis and have tried alot with ImageJ or QuPath but unfortunately I can’t find a proper way into it. Here is an image example I would like to quantify:
Has anyone a recommendation which software I should use or how I can quantify those little “dots” also finding out their position?
I tried it with ImageJ, but the image quality is so bad that it does not allow thresholding…
With thresholding it seems impossible to quantify just the “little dots”…
you can solve it in simple way using OpenCV
, or you can go further with more sophisticated approach like this one.
import cv2
import numpy as np
img = cv2.imread('img.png')
mask = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
th = 35
mask[mask<th] = 0
mask[mask>0] = 255
mask = np.stack([mask, mask, mask], axis=2)
result = np.hstack((img, mask))
cv2.namedWindow("peaks", cv2.WINDOW_NORMAL)
cv2.imshow("peaks", result)
cv2.waitKey(0)
cv2.destroyAllWindows()