Computational fluorescence ghost imaging

This paper aims to propose a computational approach in fluorescence second-order correlation imaging. In this regard, we experimentally demonstrate computational ghost imaging both with a transmission mask as a conventional ghost imaging and fluorescent object as a reflective type. Within this framework, we employ size of object and resolution of speckle pattern as the variables in order to investigate important characteristics of ghost images such as: visibility, resolution, and contrast. Analysis of variables to obtain promoted color ghost images faster is our main objective