%0 Journal Article
%T Fast image reconstruction for fluorescence microscopy
%A Mahesh Ravi Varma
%A K. Rajan
%A Partha Pratim Mondal
%J AIP Advances
%D 2012
%I AIP Publishing LLC
%R 10.1063/1.4754604
%X Real-time image reconstruction is essential for improving the temporal resolution of fluorescence microscopy. A number of unavoidable processes such as, optical aberration, noise and scattering degrade image quality, thereby making image reconstruction an ill-posed problem. Maximum likelihood is an attractive technique for data reconstruction especially when the problem is ill-posed. Iterative nature of the maximum likelihood technique eludes real-time imaging. Here we propose and demonstrate a compute unified device architecture (CUDA) based fast computing engine for real-time 3D fluorescence imaging. A maximum performance boost of 210กม is reported. Easy availability of powerful computing engines is a boon and may accelerate to realize real-time 3D fluorescence imaging.
%U http://link.aip.org/link/doi/10.1063/1.4754604