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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
Download: Download this Publication (771KB) (771KB)


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.

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