Fluorescence images are obtained by microscopes geared with a digitizer. Our analysis algorithms take advantage of the separation of signals recorded in each channel of the image (one fluorescence signal per channel). Each channel is cleaned of background noise and the shading effect in the image tiles is normalized. The evaluation of signal intensity becomes more precise. After detecting the objects of interest, they are measured by one or more appropriate mathematical models and possibly filtered according to criteria (size, collocation, form factor, intensity, etc.). In intravital microscopy, the video is stabilized on all channels before analyzing the kinematics (trajectories) of the objects of interest.
The overall analysis process performs measurements on an entire batch of images without manual intervention and produces a structured table of results reporting measurements and factors of the experiment usable as is by any statistical analysis software.