Cover Image

Improved reconstructions and generalized filtered back projection for optical projection tomography

Optical projection tomography (OPT) is a noninvasive imaging technique that enables imaging of small specimens (<1 cm), such as organs or animals in early developmental stages. In this paper, we present a set of computational methods that can be applied to the acquired data sets in order to corre...

Full description

Saved in:
Bibliographic Details
Main Authors: Birk, Udo J. (Author) , Darrell, Alex (Author) , Konstantinides, Nikos (Author) , Sarasa-Renedo, Ana (Author) , Ripoll Lorenzo, Jorge (Author)
Format: Article (Journal)
Language:English
Published: January 26, 2011
In: Applied optics
Year: 2011, Volume: 50, Issue: 4, Pages: 392-398
ISSN:2155-3165
DOI:10.1364/AO.50.000392
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1364/AO.50.000392
Verlag, lizenzpflichtig, Volltext: https://opg.optica.org/ao/abstract.cfm?uri=ao-50-4-392
Get full text
Author Notes:Udo Jochen Birk, Alex Darrell, Nikos Konstantinides, Ana Sarasa-Renedo, and Jorge Ripoll
Description
Summary:Optical projection tomography (OPT) is a noninvasive imaging technique that enables imaging of small specimens (<1 cm), such as organs or animals in early developmental stages. In this paper, we present a set of computational methods that can be applied to the acquired data sets in order to correct for (a) unknown background or illumination intensity distributions over the field of view, (b) intensity spikes in single CCD pixels (so-called “hot pixels”), and (c) refractive index mismatch between the media in which the specimens are embedded and the environment. We have tested these correction methods using a variety of samples and present results obtained from Parhyale hawaiensis embedded in glycerol and in sea water. Successful reconstructions of fluorescence and absorption OPT images have been obtained for weakly scattering specimens embedded in media with nonmatched refractive index, thus advancing OPT toward routine in vivo imaging.
Item Description:Gesehen am 24.03.2022
Physical Description:Online Resource
ISSN:2155-3165
DOI:10.1364/AO.50.000392

Similar Items