This study introduces a computational technique called deconvolution to improve images captured using a widefield fluorescence microscope. Skin and endothelial cell samples stained with fluorescent dyes were imaged with a widefield microscope. Deconvolution algorithms were then applied to remove blur from the images by accounting for factors like the microscope point spread function. The deconvolved images showed enhanced contrast and resolution compared to the raw images, demonstrating deconvolution can help overcome some limitations of widefield microscopy by reducing out-of-focus light. However, confocal microscopy is still needed for thicker samples above 20-30 micrometers.