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Opt Express. 2013 Feb 25;21(4):4766-73. doi: 10.1364/OE.21.004766.

Real-time GPU-based 3D Deconvolution.

Author information

1
Stanford Immunology, Stanford University, Stanford, California 94305, USA.

Abstract

Confocal microscopy is an oft-used technique in biology. Deconvolution of 3D images reduces blurring from out-of-focus light and enables quantitative analyses, but existing software for deconvolution is slow and expensive. We present a parallelized software method that runs within ImageJ and deconvolves 3D images ~100 times faster than conventional software (few seconds per image) by running on a low-cost graphics processor board (GPU). We demonstrate the utility of this software by analyzing microclusters of T cell receptors in the immunological synapse of a CD4 + T cell and dendritic cell. This software provides a low-cost and rapid way to improve the accuracy of 3D microscopic images obtained by any method.

PMID:
23482010
PMCID:
PMC3601650
[Indexed for MEDLINE]
Free PMC Article
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