Literature DB >> 9586240

Four-dimensional imaging: the exploration of space and time.

C F Thomas1, J G White.   

Abstract

The process of studying dynamic three-dimensional samples has a long history in biological research. Recent advances in hardware and software have made it easier to visualise and record interior detail from multiple focal planes of three-dimensional samples as they change over time (four-dimensional imaging). Once captured, it is possible to watch these events repeatedly and to analyse them in numerous ways. This article discusses the history of and the hardware necessary to perform 4D experiments, the various techniques that make 4D imaging possible, and the applications and various options for 4D-image analysis.

Mesh:

Year:  1998        PMID: 9586240     DOI: 10.1016/s0167-7799(97)01169-4

Source DB:  PubMed          Journal:  Trends Biotechnol        ISSN: 0167-7799            Impact factor:   19.536


  6 in total

1.  Real-time volume rendering of four-dimensional images based on three-dimensional texture mapping.

Authors:  J Hwang; J S Kim; J S Kim; I Y Kim; S I Kim
Journal:  J Digit Imaging       Date:  2001-06       Impact factor: 4.056

2.  IMAGE RECONSTRUCTION OF MULTIPHOTON MICROSCOPY DATA.

Authors:  Jared M Doot; Kevin W Eliceiri; Robert D Nowak; Rebecca Willett
Journal:  Proc IEEE Int Symp Biomed Imaging       Date:  2009-06-28

Review 3.  Imaging the division process in living tissue culture cells.

Authors:  Alexey Khodjakov; Conly L Rieder
Journal:  Methods       Date:  2006-01       Impact factor: 3.608

4.  Development and host cell modifications of Plasmodium falciparum blood stages in four dimensions.

Authors:  Christof Grüring; Arlett Heiber; Florian Kruse; Johanna Ungefehr; Tim-Wolf Gilberger; Tobias Spielmann
Journal:  Nat Commun       Date:  2011-01-25       Impact factor: 14.919

5.  The Homeobox Genes of Caenorhabditis elegans and Insights into Their Spatio-Temporal Expression Dynamics during Embryogenesis.

Authors:  Jürgen Hench; Johan Henriksson; Akram M Abou-Zied; Martin Lüppert; Johan Dethlefsen; Krishanu Mukherjee; Yong Guang Tong; Lois Tang; Umesh Gangishetti; David L Baillie; Thomas R Bürglin
Journal:  PLoS One       Date:  2015-05-29       Impact factor: 3.240

6.  High-throughput in vivo analysis of gene expression in Caenorhabditis elegans.

Authors:  Rebecca Hunt-Newbury; Ryan Viveiros; Robert Johnsen; Allan Mah; Dina Anastas; Lily Fang; Erin Halfnight; David Lee; John Lin; Adam Lorch; Sheldon McKay; H Mark Okada; Jie Pan; Ana K Schulz; Domena Tu; Kim Wong; Z Zhao; Andrey Alexeyenko; Thomas Burglin; Eric Sonnhammer; Ralf Schnabel; Steven J Jones; Marco A Marra; David L Baillie; Donald G Moerman
Journal:  PLoS Biol       Date:  2007-09       Impact factor: 8.029

  6 in total

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