Hoy Christopher L, Durr Nicholas J, Ben-Yakar Adela
Department of Mechanical Engineering, The University of Texas at Austin, Austin, Texas 78712, USA.
Appl Opt. 2011 Jun 1;50(16):2376-82. doi: 10.1364/AO.50.002376.
We present a fast-updating Lissajous image reconstruction methodology that uses an increased image frame rate beyond the pattern repeat rate generally used in conventional Lissajous image reconstruction methods. The fast display rate provides increased dynamic information and reduced motion blur, as compared to conventional Lissajous reconstruction, at the cost of single-frame pixel density. Importantly, this method does not discard any information from the conventional Lissajous image reconstruction, and frames from the complete Lissajous pattern can be displayed simultaneously. We present the theoretical background for this image reconstruction methodology along with images and video taken using the algorithm in a custom-built miniaturized multiphoton microscopy system.
