Slice-illuminated optical projection tomography | Zendy

Samuel P. X. Davis | Zendy; Laura Wisniewski | Zendy; Sunil Kumar | Zendy; Teresa Correia | Zendy; Simon Arridge | Zendy; Paul Frankel | Zendy; James McGinty | Zendy; P. M. W. French | Zendy

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Slice-illuminated optical projection tomography

Author(s) -

Samuel P. X. Davis,

Laura Wisniewski,

Sunil Kumar,

Teresa Correia,

Simon Arridge,

Paul Frankel,

James McGinty,

P. M. W. French

Publication year - 2018

Publication title -

optics letters

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.524

H-Index - 272

eISSN - 1071-2763

pISSN - 0146-9592

DOI - 10.1364/ol.43.005555

Subject(s) - optics , tomography , preclinical imaging , image quality , projection (relational algebra) , iterative reconstruction , optical tomography , crosstalk , diffuse optical imaging , photon , physics , materials science , computer science , computer vision , in vivo , algorithm , microbiology and biotechnology , image (mathematics) , biology

To improve the imaging performance of optical projection tomography (OPT) in live samples, we have explored a parallelized implementation of semi-confocal line illumination and detection to discriminate against scattered photons. Slice-illuminated OPT (sl-OPT) improves reconstruction quality in scattering samples by reducing interpixel crosstalk at the cost of increased acquisition time. For in vivo imaging, this can be ameliorated through the use of compressed sensing on angularly undersampled OPT data sets. Here, we demonstrate sl-OPT applied to 3D imaging of bead phantoms and live adult zebrafish.

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