Methods In computational ghost imaging the image of the sample (and its spatial information) is computationally recovered by illuminating the sample with a series of known structured beams and collecting the integrated transmitted intensity via a single-pixel bucket detector positioned after the sample. In fact, if the measurement is linear we can see that it can be described in matrix notation with the equation I= P ̂T where I is the array containing the N signals recorded by the single pixel detector, P is the array containing the intensity pattern of the N probes and T is the sample transfer function. By knowing both P and I it is possible to recover T and many algorithms exist to this end [5]. We have developed a custom python-based algorithm that allows us to simulate the generation of structured patterns, provides us with the value of the signal measured by a virtual bucket detector (even in presence of noise and …