Insults to tissues such as those involving inflammation lead to formation of fibrous connective tissue in an attempt to repair tissue architecture and maintain function. Repeated and chronic insults lead to the exaggerated accumulation of extracellular matrix proteins (fibrous proteins), thus termed fibrosis. Fibrosis interferes with the normal organ function and the extent of fibrosis is proportional to the pathological state of the affected organ. Pulmonary, kidney and liver fibrosis are among the main types of fibrosis that occur in our body. An accurate quantification of fibrosis is essential to efficiently determine disease state and measure whether new treatments are efficient. With this objective in mind, our image analysis scientists use powerful algorithms based on texture and color properties inside images to quantitatively measure fibrosis as an alternative to Human scoring method.