Unknown

Dataset Information

0

High-throughput intensity diffraction tomography with a computational microscope.


ABSTRACT: We demonstrate a motion-free intensity diffraction tomography technique that enables the direct inversion of 3D phase and absorption from intensity-only measurements for weakly scattering samples. We derive a novel linear forward model featuring slice-wise phase and absorption transfer functions using angled illumination. This new framework facilitates flexible and efficient data acquisition, enabling arbitrary sampling of the illumination angles. The reconstruction algorithm performs 3D synthetic aperture using a robust computation and memory efficient slice-wise deconvolution to achieve resolution up to the incoherent limit. We demonstrate our technique with thick biological samples having both sparse 3D structures and dense cell clusters. We further investigate the limitation of our technique when imaging strongly scattering samples. Imaging performance and the influence of multiple scattering is evaluated using a 3D sample consisting of stacked phase and absorption resolution targets. This computational microscopy system is directly built on a standard commercial microscope with a simple LED array source add-on, and promises broad applications by leveraging the ubiquitous microscopy platforms with minimal hardware modifications.

SUBMITTER: Ling R 

PROVIDER: S-EPMC5946776 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature

altmetric image

Publications

High-throughput intensity diffraction tomography with a computational microscope.

Ling Ruilong R   Tahir Waleed W   Lin Hsing-Ying HY   Lee Hakho H   Tian Lei L  

Biomedical optics express 20180405 5


We demonstrate a motion-free intensity diffraction tomography technique that enables the direct inversion of 3D phase and absorption from intensity-only measurements for weakly scattering samples. We derive a novel linear forward model featuring slice-wise phase and absorption transfer functions using angled illumination. This new framework facilitates flexible and efficient data acquisition, enabling arbitrary sampling of the illumination angles. The reconstruction algorithm performs 3D synthet  ...[more]

Similar Datasets

2020-04-01 | GSE141030 | GEO
| S-EPMC7273721 | biostudies-literature
| S-EPMC4893602 | biostudies-literature
| S-EPMC6804780 | biostudies-literature
| S-EPMC4659942 | biostudies-literature
| S-EPMC2927212 | biostudies-literature
| S-EPMC6067047 | biostudies-literature
| EMPIAR-10353 | biostudies-other
| S-EPMC6276279 | biostudies-literature
| S-EPMC5385565 | biostudies-literature