Dr. Anna Archetti Profile

Dr. Anna Archetti

Dr at Univ. degli Studi di Padova

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Dr. Archetti got her Bachelor and Master degree in Physics at Padova and at Trento University, where she worked on SiPM detectors characterization and toward the development of a FLIM (Fluorescence Lifetime Imaging Microscopy) system based on a novel fast time-gated array of SPAD (Single Photon Avalanche Diode). She then moved to EPFL where she worked in Prof. Manley laboratory on advanced fluorescence microscopy methods. In this context, she participated to the development of a large field of view microscope, on the development of 3D localization algorithms and she realized a waveguide platform for DNA-PAINT microscopy (Points Accumulation for Imaging in Nanoscale Topography). In 2020, she joined the Laboratory of Nanoscience for Energy Technologies (LNET, Prof. Tagliabue) at EPFL as Postdoc to realize tunable metalenses and to explore metasurface solutions for on-chip microscopy. In 2020 she was awarded a Marie-Curie Individual Fellowship to develop a metalens based neuroimaging platform, a project she is currently pursuing in collaboration between Padova University (Prof. Dal Maschio laboratory) and EPFL.

Proceedings Article | 28 September 2023 Presentation

Metasurface-based optical system for the generation of Bessel beams with independent optical parameters in fluorescence microscopy

Anna Archetti, Matteo Bruzzone, Giulia Tagliabue, Marco dal Maschio

Proceedings Volume 12665, 1266508 (2023) https://doi.org/10.1117/12.2675733

KEYWORDS: Bessel beams, Fluorescence microscopy, Light sources and illumination, Wavefronts, Silicon nitride, Optical trapping, Optical simulations, Optical resolution, Optical properties, Optical microscopy

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Proceedings Article | 1 August 2021 Presentation + Paper

Thermally reconfigurable varifocal silicon metalens

Anna Archetti, Ren-Jie Lin, Ted Tsoulos, Fatemeh Kiani, Nathanael Restori, Giulia Tagliabue

Proceedings Volume 11814, 1181407 (2021) https://doi.org/10.1117/12.2599593

KEYWORDS: Lens design, Tunable metamaterials, Nanostructures, Nanoantennas, Silicon, Phase shifts, Modulation, Thermography, Sapphire, Phase shift keying, Optical components, Transmittance, Thermal optics, Telecommunications

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Active optical components are essential building blocks for a wide variety of applications such as optical communications, microscopy, and illumination systems. Reconfigurable metasurfaces, which consist of arrays of subwavelength meta-atoms, can be engineered to uniquely realize compact and multifunctional optical elements, enabling light-polarization dynamic-control as well as beam steering, focusing or zooming. Varifocal metalenses, in particular, have attracted increasing interests. Yet, going beyond mechanical modulation schemes to realize ultra-thin devices with fast modulation remains challenging due to the complex phase and phase-delay profiles involved. Recently, thermooptical effects in dielectric nanostructures have emerged as a promising solution to tune their optical resonances, offering unexplored opportunities for ultra-thin reconfigurable metalenses, in particular silicon based ones. In this work, we report a proof-of-concept design of an ultrathin (300 nm thick) and thermo-optically reconfigurable silicon metalens operating in the visible regime (632 nm). Importantly, we demonstrate that, using thermo-optical effects, it is possible to achieve continuous modulation of the focal-length at a fixed wavelength. In particular, operating under right-circularly polarized light, our metalens exhibits a linear focal shift from 165 μm at 20°C to 135 μm at 260°C, exceeding the lens focal depth. The average conversion efficiency of the lens is 26%, close to mechanically modulated devices, while its Strehl ratio is 0.99, confirming a diffraction-limited performance. Concurrently, in this work we report an automatized methodology to design a reconfigurable metalens, compute its layout and verify the expected performance. Overall, we envision that, by further optimization of the optical response of individual meta-atoms with machine-learning algorithms, thermally-reconfigurable silicon metalenses will emerge as a viable, chip-compatible solution to realize ultrathin varifocal lenses.

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