Super-resolution fluorescence microscopy allows researchers to use light to visualize cell samples at the nanometer scale, allowing individual proteins to be imaged. One approach to enhance super-resolution microscopy is to manipulate the phase of the light by imposing a phase mask; a calibrated deformable mirror is a device that can be used to create a phase mask by varying its voltage inputs, thereby deforming its surface. This project's aim was to develop a computer model connecting the topography of the deformable mirror to its voltage inputs. We use Python programming to execute least squares fitting between a known set of voltages and mirror topographies to estimate the model parameters. The data are interferograms collected using phase-shifting interferometry.