Spot detection

A generalist framework for multi-dimensional automatic spot detection and quantification.

SpotMAX is designed to accomplish two tasks:

1. Detecting and quantifying globular-like structures (a.k.a. "spots")
2. Segmenting and quantifying fluorescently labelled structures

It supports 2D, 3D, 4D, and 5D data, i.e., z-stacks, timelapse, and multiple fluorescence channels (and combinations thereof).

3D spot detection using the Determinant of Hessian (DoH) and the detection of 3D minima.

Spot detection in 3D images by Wavelet Adaptive Threshold in Icy.

This workflow detects spots in a 2D image by filtering the image by Laplacian of Gaussian (user defined radius), thresholding (user defined threshold) and finding local intensity maxima in mask distance map (Dmap).