Protein Relative Abundance Quantification Algorithm for 3D Fluorescent Images from Tissue
Corrado Ameli, Sonja Fixemer, David Bouvier, Alexander Skupin.
In confocal fluorescent microscopy, the quality of the acquisition depends on several factors including the microscope parameterization, the light exposure time, the type and concentration of the antibodies used, the thickness of the sample and the tissue degradation. Due to these factors, intra-sample and inter-sample variability inevitably arises. Protein segmentation and quantification can thus become a challenging process. Therefore, image processing techniques need to address the acquisitions variability to minimize the risk of bias coming from changes in signal intensity, background noise and parameterization.
The source code for the program is available on Github.