Process your cell images step-by-step to detect boundaries and visualize data points.
Size of the square crop around the image center.
Size of the kernel for Gaussian blur. Must be odd.
Threshold for contrast limiting.
Size of grid for histogram equalization. e.g., 4 means 4x4 grid.
Size of a pixel neighborhood that is used to calculate a threshold value. Must be odd.
Constant subtracted from the mean or weighted mean.
Kernel size for morphological closing. Helps fill small holes. Must be odd.
Kernel size for morphological opening. Helps remove small objects. Must be odd.
Minimum area for a contour to be considered.
Maximum area for a contour to be considered.
Minimum circularity (4π * Area / Perimeter^2) for a contour. 1.0 is a perfect circle.
Maximum circularity for a contour.
Method to select the single best contour if multiple are found.
Scale factor to convert micrometers to pixels.
Manual adjustment for X-coordinate offset in micrometers.
Manual adjustment for Y-coordinate offset in micrometers.