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FWO: 

Cell sorting analysis

Duration: 1/1/2016-7/1/2020 (Finished)

Publications in the framework of this project (6)

    International Journals

  1. A. Lugnan, E.J.C. Gooskens, J. Vatin, J. Dambre, P. Bienstman, Machine learning issues and opportunities in ultrafast particle classification for label‑free microflow cytometry, Scientific Reports, 10(1), p.1-13 doi:10.1038/s41598-020-77765-w (2020)  Download this Publication (2MB).
  2. A. Lugnan, J. Dambre, P. Bienstman, Integrated pillar scatterers for speeding up classification of cell holograms, Optics Express, 25(24), p.30526-30538 doi:10.1364/oe.25.030526 (2017)  Download this Publication (3MB).
      International Conferences

    1. A. Lugnan, J. Dambre, P. Bienstman, Numerical investigation of integrated dielectric pillars to simplify machine learning classification of cells, 23rd Annual Symposium of the IEEE Photonics Benelux Chapter, Belgium, (2018)  Download this Publication (524KB).
    2. A. Lugnan, J. Dambre, P. Bienstman, Integrated dielectric scatterers for speeding up classification of cell diffraction patterns, 2018 20th International Conference on Transparent Optical Networks (ICTON) (invited), Romania, p.We.A6.3, 4pp. doi:10.1109/ICTON.2018.8473611 (2018)  Download this Publication (771KB).
    3. A. Lugnan, J. Dambre, P. Bienstman, Integrated dielectric scatterers for fast optical classification of biological cells, SPIE Photonics Europe, 10689(07), France, p.1-7 doi:10.1117/12.2306654 (2018)  Download this Publication (636KB).
    4. A. Lugnan, J. Dambre, P. Bienstman, Integrated pillar scatterers for speeding up classification of cell holograms through a RC-like machine learning approach, Workshop on Dynamical Systems and Brain-inspired Information Processing, Belgium, (2017)  Download this Publication (556KB).