↓ Skip to main content

PLOS

High-Speed Imaging of Amoeboid Movements Using Light-Sheet Microscopy

Overview of attention for article published in PLOS ONE, December 2012
Altmetric Badge

Mentioned by

twitter
3 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
51 Mendeley
Title
High-Speed Imaging of Amoeboid Movements Using Light-Sheet Microscopy
Published in
PLOS ONE, December 2012
DOI 10.1371/journal.pone.0050846
Pubmed ID
Authors

Daisuke Takao, Atsushi Taniguchi, Takaaki Takeda, Seiji Sonobe, Shigenori Nonaka

Abstract

Light-sheet microscopy has been developed as a powerful tool for live imaging in biological studies. The efficient illumination of specimens using light-sheet microscopy makes it highly amenable to high-speed imaging. We therefore applied this technology to the observation of amoeboid movements, which are too rapid to capture with conventional microscopy. To simplify the setup of the optical system, we utilized the illumination optics from a conventional confocal laser scanning microscope. Using this set-up we achieved high-speed imaging of amoeboid movements. Three-dimensional images were captured at the recording rate of 40 frames/s and clearly outlined the fine structures of fluorescent-labeled amoeboid cellular membranes. The quality of images obtained by our system was sufficient for subsequent quantitative analysis for dynamics of amoeboid movements. This study demonstrates the application of light-sheet microscopy for high-speed imaging of biological specimens.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Portugal 1 2%
Unknown 49 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 27%
Student > Ph. D. Student 13 25%
Professor > Associate Professor 5 10%
Student > Master 5 10%
Professor 3 6%
Other 8 16%
Unknown 3 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 37%
Physics and Astronomy 12 24%
Engineering 8 16%
Biochemistry, Genetics and Molecular Biology 5 10%
Neuroscience 1 2%
Other 1 2%
Unknown 5 10%