The software is a plugin running on ImageJ or Fiji. Create a ROI (region of interest) from the measurements, and use the automatic measurement tools of ImageJ to obtain further results.Save the results as a comma-separated text file (.cvs), or load previous measurements.The algorithm helps the user to find the optimal center and the corresponding radius by overlaying the spot on that image. Remove spots (select spot and "delete" or alt + click).The radius of the spot is automatically computed by the software. Add further spots (double-click or shift + click).The possible measures are confidence, contrast and SNR. Define a measure of "correctness" for the detections, and visualise the best N detections with respect to that.Edit the range of the detections, changing the lower and upper bounds for the possible radii, location (coordinates in x and y), confidence, contrast and SNR.There is a possibility to fine tune the given measurements, and also to postprocess the data. The corresponding row is highlighted too. The same way, once a spot is selected on the image, Once the row of the spot is highlighted in the table, the corresponding spot appearsĪutomatically with an inverted color. There is a direct connection between the table and the visualization of the spots. The center of the spots are optionally shown as well with a cross. There is a possibility to label the spots either by their ID, their radius, their confidence level, The detected objects are visualized by their outline, covered with a variable opacity disk, or both of them. We note that the radius of the spot is always determined automatically. "Manual" means that the object was added or edited manually by the user, at time "timestamp". "Auto" means that the detections were generated automatically by the software. Type of the spot: it can be either "Auto" or "Manual + timestamp".It gives the ratio between the average of the intensity of the spot (inside the surrounding circle) and the standard deviation of the background (surrounding concentric neighbourhood). Similarly to the contrast, the SNR characterises the "correctness" of the spots.
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