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Virtual Journal for Biomedical Optics

Virtual Journal for Biomedical Optics

| EXPLORING THE INTERFACE OF LIGHT AND BIOMEDICINE

  • Editors: Andrew Dunn and Anthony Durkin
  • Vol. 8, Iss. 3 — Apr. 4, 2013

Real-time GPU-based 3D Deconvolution

Marc A. Bruce and Manish J. Butte  »View Author Affiliations


Optics Express, Vol. 21, Issue 4, pp. 4766-4773 (2013)
http://dx.doi.org/10.1364/OE.21.004766


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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.

© 2013 OSA

OCIS Codes
(100.1830) Image processing : Deconvolution
(180.2520) Microscopy : Fluorescence microscopy

ToC Category:
Image Processing

History
Original Manuscript: December 17, 2012
Revised Manuscript: January 21, 2013
Manuscript Accepted: January 31, 2013
Published: February 19, 2013

Virtual Issues
Vol. 8, Iss. 3 Virtual Journal for Biomedical Optics

Citation
Marc A. Bruce and Manish J. Butte, "Real-time GPU-based 3D Deconvolution," Opt. Express 21, 4766-4773 (2013)
http://www.opticsinfobase.org/vjbo/abstract.cfm?URI=oe-21-4-4766


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