Temporal deep learning classification of digital hologram reconstructions of multicellular samples

Digital holographic microscopy allows label-free capture of the full wavefront of light from an object using a low intensity laser. Using numerical reconstructions as an input to deep convolutional neural networks, detection of tumorigenic samples is feasible.