Holographic characterisation of biological nanoparticles using deep learning
Fredrik Skärberg, Erik Olsén, Benjamin Midtvedt, Emelie V. Wesén, Elin K. Esbjörner, Giovanni Volpe, Fredrik Höök, Daniel Midtvedt
Submitted to SPIE-ETAI
Date: 22 August 2022
Time: 17:30 (PDT)
Optical characterization of nanoparticles in/outside cells is a challenging task, as the scattering from the nanoparticles is distorted by the scattering from the cells. In this work, we demonstrate a framework for optical mass quantification of intra- and extracellular nanoparticles by leveraging a novel deep learning method, LodeSTAR, in combination with off-axis twilight holography. The result provides new means for the exploration of nanoparticle/cell interactions.