  Image segmentation, the process of separating the elements within an image,
is frequently used for obtaining information from photomicrographs. However,
segmentation methods should be used with reservations: incorrect segmentation
can mislead when interpreting regions of interest (ROI), thus decreasing the
success rate of additional procedures. Multi-Level Starlet Segmentation (MLSS)
and Multi-Level Starlet Optimal Segmentation (MLSOS) were developed to address
the photomicrograph segmentation deficiency on general tools. These methods
gave rise to Jansen-MIDAS, an open-source software which a scientist can use to
obtain a multi-level threshold segmentation of his/hers photomicrographs. This
software is presented in two versions: a text-based version, for GNU Octave,
and a graphical user interface (GUI) version, for MathWorks MATLAB. It can be
used to process several types of images, becoming a reliable alternative to the
scientist.
