Literature DB >> 16080270

Deconvolution microscopy.

Jean-Baptiste Sibarita1.   

Abstract

Since its introduction in 1983, deconvolution microscopy has become a key image-processing tool for visualizing the cellular structures of fixed and living specimens in three dimensions and at subresolution scale. The last 20 years have seen the development of many different applications based on deconvolution microscopy, including a wide variety of optical setup and deconvolution algorithms. This chapter aims to summarize and to describe in detail the major features of this technology, from theoretical aspects to practical solutions. It will begin by explaining the principle of image formation in three-dimensional optical sectioning microscopy. As deconvolution microscopy provides, in essence, a means of overcoming the limits of optical microscopy, the second part of this chapter is dedicated to the theoretical and experimental description of image generation through a microscope. Methods will be detailed for the determination of point spread function, as a crucial step for the characterization of any optical system and a key preliminary step for image deconvolution. The challenges faced and the various possibilities for determining this function precisely will be discussed. All possible sources of aberrations and image degradation processes will be discussed. In the third part of this chapter, we will introduce the acquisition setup and requirements for compliance between acquisition and deconvolution processes. Typical setups for fixed and living cell observation will be detailed, with key features for optimizing speed and reducing artifacts. In the fourth and last part of this chapter, we will describe, in theoretical terms, the various restoration algorithms commonly used in the field of optical microscopy and will provide results obtained with some of the commercially available packages. We shall conclude by considering the prospects for future solutions (currently under development) aiming to handle more easily the huge amounts of data generated by rapid multi-dimensional living cell microscopy. Designed for use by standard cell biologists and hardware and software engineers and developers, this chapter has been written to provide a clear explanation of the wide-reaching and powerful domain of deconvolution microscopy.

Mesh:

Year:  2005        PMID: 16080270     DOI: 10.1007/b102215

Source DB:  PubMed          Journal:  Adv Biochem Eng Biotechnol        ISSN: 0724-6145            Impact factor:   2.635


  64 in total

1.  Spatial coordination between cell and nuclear shape within micropatterned endothelial cells.

Authors:  Marie Versaevel; Thomas Grevesse; Sylvain Gabriele
Journal:  Nat Commun       Date:  2012-02-14       Impact factor: 14.919

2.  Probabilistic density maps to study global endomembrane organization.

Authors:  Kristine Schauer; Tarn Duong; Kevin Bleakley; Sabine Bardin; Michel Bornens; Bruno Goud
Journal:  Nat Methods       Date:  2010-05-30       Impact factor: 28.547

3.  Villin severing activity enhances actin-based motility in vivo.

Authors:  Céline Revenu; Matthieu Courtois; Alphée Michelot; Cécile Sykes; Daniel Louvard; Sylvie Robine
Journal:  Mol Biol Cell       Date:  2006-12-20       Impact factor: 4.138

4.  Label-free high-resolution imaging of live cells with deconvolved spatial light interference microscopy.

Authors:  Justin P Haldar; Zhuo Wang; Gabriel Popescu; Zhi-Pei Liang
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2010

5.  Monitoring actin cortex thickness in live cells.

Authors:  Andrew G Clark; Kai Dierkes; Ewa K Paluch
Journal:  Biophys J       Date:  2013-08-06       Impact factor: 4.033

6.  Myosin 1b promotes the formation of post-Golgi carriers by regulating actin assembly and membrane remodelling at the trans-Golgi network.

Authors:  Claudia G Almeida; Ayako Yamada; Danièle Tenza; Daniel Louvard; Graça Raposo; Evelyne Coudrier
Journal:  Nat Cell Biol       Date:  2011-06-12       Impact factor: 28.824

7.  Electrically tunable lens speeds up 3D orbital tracking.

Authors:  Paolo Annibale; Alexander Dvornikov; Enrico Gratton
Journal:  Biomed Opt Express       Date:  2015-05-21       Impact factor: 3.732

8.  Imaging properties of extended depth of field microscopy through single-shot focus scanning.

Authors:  Sheng-Huei Lu; Hong Hua
Journal:  Opt Express       Date:  2015-04-20       Impact factor: 3.894

9.  Detecting apoptotic cells and monitoring their clearance in the nematode Caenorhabditis elegans.

Authors:  Nan Lu; Xiaomeng Yu; Xiangwei He; Zheng Zhou
Journal:  Methods Mol Biol       Date:  2009

10.  AP-1 and KIF13A coordinate endosomal sorting and positioning during melanosome biogenesis.

Authors:  Cédric Delevoye; Ilse Hurbain; Danièle Tenza; Jean-Baptiste Sibarita; Stéphanie Uzan-Gafsou; Hiroshi Ohno; Willie J C Geerts; Arie J Verkleij; Jean Salamero; Michael S Marks; Graça Raposo
Journal:  J Cell Biol       Date:  2009-10-19       Impact factor: 10.539

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