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Identification of fluorescent beads using a coded aperture snapshot spectral imager.

dc.contributor.author Cull, Christy Fernandez
dc.contributor.author Choi, Kerkil
dc.contributor.author Brady, David J
dc.contributor.author Oliver, Tim
dc.coverage.spatial United States
dc.date.accessioned 2011-06-21T17:27:39Z
dc.date.issued 2010-04-01
dc.identifier http://www.ncbi.nlm.nih.gov/pubmed/20357842
dc.identifier 196222
dc.identifier.uri https://hdl.handle.net/10161/4204
dc.description.abstract We apply a coded aperture snapshot spectral imager (CASSI) to fluorescence microscopy. CASSI records a two-dimensional (2D) spectrally filtered projection of a three-dimensional (3D) spectral data cube. We minimize a convex quadratic function with total variation (TV) constraints for data cube estimation from the 2D snapshot. We adapt the TV minimization algorithm for direct fluorescent bead identification from CASSI measurements by combining a priori knowledge of the spectra associated with each bead type. Our proposed method creates a 2D bead identity image. Simulated fluorescence CASSI measurements are used to evaluate the behavior of the algorithm. We also record real CASSI measurements of a ten bead type fluorescence scene and create a 2D bead identity map. A baseline image from filtered-array imaging system verifies CASSI's 2D bead identity map.
dc.language eng
dc.language.iso en_US
dc.publisher The Optical Society
dc.relation.ispartof Appl Opt
dc.subject Algorithms
dc.subject Fluorescent Dyes
dc.subject Imaging, Three-Dimensional
dc.subject Microspheres
dc.subject Optical Devices
dc.subject Optical Phenomena
dc.subject Spectrometry, Fluorescence
dc.title Identification of fluorescent beads using a coded aperture snapshot spectral imager.
dc.title.alternative
dc.type Journal article
duke.contributor.id Brady, David J|0273771
dc.description.version Version of Record
duke.date.pubdate 2010-4-1
duke.description.issue 10
duke.description.volume 49
dc.relation.journal Applied Optics
pubs.author-url http://www.ncbi.nlm.nih.gov/pubmed/20357842
pubs.begin-page B59
pubs.end-page B70
pubs.issue 10
pubs.organisational-group Duke
pubs.organisational-group Electrical and Computer Engineering
pubs.organisational-group Pratt School of Engineering
pubs.publication-status Published
pubs.volume 49
dc.identifier.eissn 1539-4522


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