Open AccessSlice-illuminated optical projection tomography
Author(s) -
Samuel P. X. Davis,
Laura Wisniewski,
Sunil Kumar,
Teresa Correia,
Simon R. Arridge,
Paul Frankel,
James McGinty,
Paul M. W. French
Publication year - 2018
Publication title -
optics letters/optics index
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.