The aim of our PhD project is to offer the non-destructive time-efficient high-resolution and 3 dimensional capabilities of X-PCI as an improvement of the current diagnosis in human corings or EMBs. Cardiac microstructure will be quantified at micrometre scale in 3D, without sample preparation further to the biopsy extraction nor the use of staining or contrast agents. Different cardiac remodeling processes will be documented, feeding an imaging database to help pathologists in their diagnosis. The potential offered by machine learning will be harnessed to reduce the human intervention in the analysis. Finally, the possibility to translate this technique to clinical imaging facilities will also be investigated.