Fast image reconstruction for fluorescence microscopy

Varma, Mahesh Ravi and Rajan, K and Mondal, Partha Pratim (2012) Fast image reconstruction for fluorescence microscopy. In: AIP ADVANCES, 2 (3).

PDF aip_ADV_2-3_032174.pdf - Published Version Restricted to Registered users only Download (1MB) | Request a copy

Abstract

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 210x is reported. Easy availability of powerful computing engines is a boon and may accelerate to realize real-time 3D fluorescence imaging. Copyright 2012 Author(s). This article is distributed under a Creative Commons Attribution 3.0 Unported License. http://dx.doi.org/10.1063/1.4754604]

Item Type:	Journal Article
Publication:	AIP ADVANCES
Publisher:	AMER INST PHYSICS
Additional Information:	Copyright for this article belongs to AMER INST PHYSICS, MELVILLE, USA
Department/Centre:	Division of Physical & Mathematical Sciences > Instrumentation Appiled Physics Division of Physical & Mathematical Sciences > Physics
Date Deposited:	16 Nov 2012 06:56
Last Modified:	16 Nov 2012 06:58
URI:	http://eprints.iisc.ac.in/id/eprint/45322

Actions (login required)

View Item