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Shadow Technique Algorithm (STA) Sheds a New Light on Differential Interference Contrast (DIC) Microscopy | OMICS International | Abstract
ISSN: 2155-9872

Journal of Analytical & Bioanalytical Techniques
Open Access

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Research Article

Shadow Technique Algorithm (STA) Sheds a New Light on Differential Interference Contrast (DIC) Microscopy

Dave Trinel1, Pauline Vandame1,2, Magalie Hervieu3, Emilie Floquet3, Marc Aumercier3, Emanuele G Biondi3, Jean-François Bodart2 and Corentin Spriet1*

1TISBio, CNRS, UMR 8576, UGSF, Glycobiology Structural and Functional Unit, Lille University of Science and Technology, Lille, France

2Regulation of Signal Division Team, CNRS, UMR 8576, UGSF, Glycobiology Structural and Functional Unit, Lille University of Science and Technology, Lille, France

3CNRS, UMR 8576, UGSF, Glycobiology Structural and Functional Unit, Lille University of Science and Technology, France

*Corresponding Author:
Corentin Spriet
TISBio, CNRS, UMR 8576, UGSF
Glycobiology Structural and Functional Unit
Lille University of Science and Technology
FRABio EN 3688 CNRS
F 59000 Lille, France
Tel: 330-362-531-712
E-mail: [email protected]

Received date: August 11, 2015; Accepted date: August 21, 2015; Published date: August 28, 2015

Citation: Trinel D, Vandame P, Hervieu M, Floquet E, Aumercier M, et al. (2015) Shadow Technique Algorithm (STA) Sheds a New Light on Differential Interference Contrast (DIC) Microscopy. J Anal Bioanal Tech 6:268 doi:10.4172/2155-9872.1000268

Copyright: © 2015 Trinel D, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Diversity of biological samples is still partially considered by conventional Differential Interference Contrast (DIC) microscopy approaches. Here we propose a new algorithm (developed as an ImageJ macro), the STA (Shadow Technique Algorithm), whose originality relies in the 3D/4D visualization of a large range of biological objects, from bacteria, vegetal tissues to living cells in culture. This new approach does not need extensive calculations, systems modifications or in-depth knowledge of acquisition optics. STA, providing 3D DIC reconstruction every hundredth of ms, can be applied to dissect various cellular phenomena. In addition, we propose different methods of graphic representations, which unable to enlighten the specificities of each category of questioning. Specifically we here addressed: i) tissue imaging, ii) cell cycle and cell death imaging iii) vesicle tracking.

Keywords

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Citations : 3463

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