title: Fast particle characterization using digital holography and neural networks.
abstract: We propose using a neural network approach in conjunction with digital holographic microscopy in order to rapidly determine relevant parameters such as the core and shell diameter of coated, non-absorbing spheres. We do so without requiring a time-consuming reconstruction of the cell image. In contrast to previous approaches, we are able to obtain a continuous value for parameters such as size, as opposed to binning into a discrete number of categories. Also, we are able to separately determine both core and shell diameter. For simulated particle sizes ranging between 7 and 20 μm, we obtain accuracies of (4.4±0.2)% and (0.74±0.01)% for the core and shell diameter, respectively.
authors.forename: B
authors.initials: B
authors.lastname: Schneider
authors.forename: J
authors.initials: J
authors.lastname: Dambre
authors.forename: P
authors.initials: P
authors.lastname: Bienstman
mesh_terms: D003198:Computer Simulation; D006696:Holography / Q000379:methods*; D007962:Leukocytes / Q000166:cytology; D016571:Neural Networks, Computer