Single-pixel transmission matrix recovery via two-photon fluorescence
Shupeng Zhao, Bernhard Rauer, Lorenzo Valzania, Jonathan Dong, Ruifeng Liu, Fuli Li, Sylvain Gigan, Hilton B. de Aguiar
Abstract
Imaging at depth in opaque materials has long been a challenge. Recently, wavefront shaping has enabled notable advance for deep imaging. Nevertheless, most noninvasive wavefront-shaping methods require cameras, lack the sensitivity for deep imaging under weak optical signals, or can only focus on a single "guidestar." Here, we retrieve the transmission matrix (TM) noninvasively using two-photon fluorescence exploiting a single-pixel detection combined with a computational framework, allowing to achieve single-target focus on multiple guidestars spread beyond the memory effect range. In addition, if we assume that memory effect correlations exist in the TM, we are able to substantially reduce the number of measurements needed.