Publications de Carlo Gigli | EPFL Graph Search

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The ever-increasing demand for training and inferring with larger machine-learning models requires more efficient hardware solutions due to limitations such as power dissipation and scalability. Optics is a promising contender for providing lower power com ...

Electronic computers have evolved drastically over the past years with an ever-growing demand for improved performance. However, the transfer of information from memory and high energy consumption have emerged as issues that require solutions. Optical tech ...

Phase imaging is widely used in biomedical imaging, sensing, and material characterization, among other fields. However, direct imaging of phase objects with subwavelength resolution remains a challenge. Here, we demonstrate subwavelength imaging of phase ...

Tomographic Volumetric Additive Manufacturing (TVAM) allows printing of mesoscopic objects within seconds or minutes. In TVAM, tomographic patterns are illuminated onto a rotating glass vial which contains a photosensitive resin. Current pattern optimizati ...

We introduce an optimization framework for ray and wave optical tomographic volumetric additive manufacturing (TVAM). In TVAM, tomographic patterns are projected with a light modulator onto a photocurable resin from different angular directions. Once an en ...

The prospect of massive parallelism of optics enabling fast and low energy cost operations is attracting interest for novel photonic circuits where 3-dimensional (3D) implementations have a high potential for scalability. Since the technology for data inpu ...

We propose a physics-informed neural network (PINN) as the forward model for tomographic reconstructions of biological samples. We demonstrate that by training this network with the Helmholtz equation as a physical loss, we can predict the scattered field ...

Carlo Gigli

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Programming nonlinear propagation for efficient optical learning machines

Programming the scalable optical learning operator with spatial-spectral optimization

Subwavelength imaging using a solid-immersion diffractive optical processor

Wave optical model for tomographic volumetric additive manufacturing

SwissVAMyKnife.jl: an open-source package for tomographic volumetric additive manufacturing

From 3D to 2D and back again

Physics-informed neural networks for diffraction tomography