Photonics Research Group Home
Ghent University Journals/Proceedings
About People Research Publications Education Services


Publication detail

Authors: A. Lugnan, J. Dambre, P. Bienstman
Title: Numerical investigation of integrated dielectric pillars to simplify machine learning classification of cells
Format: International Conference Proceedings
Publication date: 11/2018
Journal/Conference/Book: 23rd Annual Symposium of the IEEE Photonics Benelux Chapter
Editor/Publisher: IEEE Photonics Society - Benelux Chapter, 
Location: Brussels, Belgium
Citations: Look up on Google Scholar
Download: Download this Publication (524KB) (524KB)


The computational power needed to classify interference patterns of biological cells is a major limit to the implementation of fast label-free cell sorting based on digital holographic microscopy and flow cytometry [1]. In this work we discuss some properties of a technique that employs a collection of integrated silica micro-pillars to significantly simplify the classification of raw holograms obtained from cells with different average nucleus size lighted by a laser.

Related Research Topics

Related Projects

Back to publication list