| Authors: | A. Lugnan, J. Dambre, P. Bienstman | | Title: | Integrated dielectric scatterers for speeding up classification of cell diffraction patterns | | Format: | International Conference Proceedings | | Publication date: | 7/2018 | | Journal/Conference/Book: | 2018 20th International Conference on Transparent Optical Networks (ICTON)
(invited)
| | Editor/Publisher: | IEEE, | | Volume(Issue): | p.We.A6.3, 4pp. | | Location: | Bucharest, Romania | | DOI: | 10.1109/ICTON.2018.8473611 | | Citations: | Look up on Google Scholar
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Abstract
The computational power required to classify diffraction pattern images of biological cells is a major limit to the implementation of fast label-free cell sorting based on digital holographic microscopy. This work aims to demonstrate that the performance of a computationally cheap linear classifier can be significantly improved by the scattering action of a simple collection of integrated dielectric pillars. FDTD simulations show that the error of cell classification based on nucleus size can be decreased by a factor 5 when dielectric scatterers are employed and cells are made to flow in a suitable optical cavity. Related Research Topics
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