Multidimensional data reconstruction for two color fluorescence microscopy

Dilipkumar, Shilpa and Mondal, Partha Pratim (2012) Multidimensional data reconstruction for two color fluorescence microscopy. In: REVIEW OF SCIENTIFIC INSTRUMENTS, 83 (12).

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Abstract

We propose an iterative data reconstruction technique specifically designed for multi-dimensional multi-color fluorescence imaging. Markov random field is employed (for modeling the multi-color image field) in conjunction with the classical maximum likelihood method. It is noted that, ill-posed nature of the inverse problem associated with multi-color fluorescence imaging forces iterative data reconstruction. Reconstruction of three-dimensional (3D) two-color images (obtained from nanobeads and cultured cell samples) show significant reduction in the background noise (improved signal-to-noise ratio) with an impressive overall improvement in the spatial resolution (approximate to 250 nm) of the imaging system. Proposed data reconstruction technique may find immediate application in 3D in vivo and in vitro multi-color fluorescence imaging of biological specimens. (C) 2012 American Institute of Physics. http://dx.doi.org/10.1063/1.4769058]

Item Type:	Journal Article
Publication:	REVIEW OF SCIENTIFIC INSTRUMENTS
Publisher:	AMER INST PHYSICS
Additional Information:	Copy right for this article belongs to AMER INST PHYSICS, MELVILLE,USA
Department/Centre:	Division of Physical & Mathematical Sciences > Instrumentation Appiled Physics
Date Deposited:	06 Feb 2013 12:20
Last Modified:	06 Feb 2013 12:20
URI:	http://eprints.iisc.ac.in/id/eprint/45735

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