Ossowski, P;
Wojtkowski, M;
Munro, PRT;
(2017)
Classification of biological micro-objects using optical coherence tomography: in silico study.
Biomedical Optics Express
, 8
(8)
pp. 3606-3626.
10.1364/BOE.8.003606.
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Abstract
We report on the development of a technique for differentiating between biological micro-objects using a rigorous, full-wave model of OCT image formation. We model an existing experimental prototype which uses OCT to interrogate a microfluidic chip containing the blood cells. A full-wave model is required since the technique uses light back-scattered by a scattering substrate, rather than by the cells directly. The light back-scattered by the substrate is perturbed upon propagation through the cells, which flow between the substrate and imaging system’s objective lens. We present the key elements of the 3D, Maxwell equation-based computational model, the key findings of the computational study and a comparison with experimental results.
| Type: | Article |
|---|---|
| Title: | Classification of biological micro-objects using optical coherence tomography: in silico study |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1364/BOE.8.003606 |
| Publisher version: | http://doi.org/10.1364/BOE.8.003606 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1565172 |
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