Any measurement always contains a certain amount of random variation called noise. There are many sources of noise in an imaging system, including photon statistics, dark current variations, and readout noise. The ratio of signal to noise in a measurement is a fundamental indication of accuracy. Since the signal-to-noise ratio is lower for fainter objects in an image, the practical limit on sensitivity is determined by the noise.