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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).

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Official URL: http://dx.doi.org/10.1063/1.4754604

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
Additional Information: Copyright for this article belongs to AMER INST PHYSICS, MELVILLE, USA
Department/Centre: Division of Physical & Mathematical Sciences > Instrumentation and Applied Physics (Formally ISU)
Division of Physical & Mathematical Sciences > Physics
Date Deposited: 16 Nov 2012 06:56
Last Modified: 16 Nov 2012 06:58
URI: http://eprints.iisc.ernet.in/id/eprint/45322

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