19Local tissue stiffness provides an important signal to which cells respond in vivo. However, 20 assessing tissue mechanics is currently challenging and requires sophisticated technology. We here 21 developed a model quantitatively predicting nervous tissue stiffness heterogeneities at cellular 22 resolution based on cell density, myelin and GFAP fluorescence intensities. These histological 23 parameters were identified by a correlation analysis of atomic force microscopy-based elasticity maps 24 of spinal cord sections and immunohistochemical stainings. Our model provides a simple tool to 25 estimate local stiffness distributions in nervous tissue, and it can easily be expanded to other tissue 26 types, thus paving the way for studies of the role of mechanical signals in development and pathology.