Abstract: Localization methods and methods for localizing a light source using multivariate statistical analysis. In particular, a multi-variate distribution, such as a multi-variate normal distribution, may be used to localize photons originating from a light source and, in particular, may be used to analyze photon position maps acquired by Photon Event Distribution Sampling (PEDS). The multi-variate distribution assigned to each of the photons in the photon position map may be summed to predict a most probable location for the light source.

Abstract: Localization methods and methods for localizing a light source using multivariate statistical analysis. In particular, a multi-variate distribution, such as a multi-variate normal distribution, may be used to localize photons originating from a light source and, in particular, may be used to analyze photon position maps acquired by Photon Event Distribution Sampling (PEDS). The multi-variate distribution assigned to each of the photons in the photon position map may be summed to predict a most probable location for the light source.

Abstract: Locations of the origins of the photons are acquired from a scanned sample with reference to a scan frame. The location on the sample from which a photon was emitted is inferred from the location of the scan as commanded by a scan drive signal, a feedback signal related to the position of the scan device, or alternatively by the point in time during a scan at which the photon is detected. A position function, e.g., photon probability density, is associated with a photon position. Summing or other processing of photon probability density functions can require fewer photons to converge to an ideal density distribution associated with an image feature than are required using conventional pixel binning. Stored data can be mapped into pixels or voxels of a display or otherwise processed. Original data remains available in the digital storage for post-hoc analysis. Imprecision introduced by the display process need not adversely affect the precision of the collected data.