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Real-time maximum a-posteriori image reconstruction for fluorescence microscopy

Jabbar, Anwar A and Dilipkumar, Shilpa and Rasmi, CK and Rajan, K and Mondal, Partha P (2015) Real-time maximum a-posteriori image reconstruction for fluorescence microscopy. In: AIP ADVANCES, 5 (8).

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Official URL: http://dx.doi.org/10.1063/1.4915131

Abstract

Rapid reconstruction of multidimensional image is crucial for enabling real-time 3D fluorescence imaging. This becomes a key factor for imaging rapidly occurring events in the cellular environment. To facilitate real-time imaging, we have developed a graphics processing unit (GPU) based real-time maximum a-posteriori (MAP) image reconstruction system. The parallel processing capability of GPU device that consists of a large number of tiny processing cores and the adaptability of image reconstruction algorithm to parallel processing (that employ multiple independent computing modules called threads) results in high temporal resolution. Moreover, the proposed quadratic potential based MAP algorithm effectively deconvolves the images as well as suppresses the noise. The multi-node multi-threaded GPU and the Compute Unified Device Architecture (CUDA) efficiently execute the iterative image reconstruction algorithm that is similar to 200-fold faster (for large dataset) when compared to existing CPU based systems. (C) 2015 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution 3.0 Unported License.

Item Type: Journal Article
Additional Information: Copy right for this article belongs to the AMER INST PHYSICS, 1305 WALT WHITMAN RD, STE 300, MELVILLE, NY 11747-4501 USA
Department/Centre: Division of Physical & Mathematical Sciences > Instrumentation Appiled Physics
Division of Physical & Mathematical Sciences > Physics
Depositing User: Id for Latest eprints
Date Deposited: 01 Oct 2015 04:59
Last Modified: 01 Oct 2015 04:59
URI: http://eprints.iisc.ac.in/id/eprint/52481

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