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Pietro Ferraro

Researcher at National Research Council

Publications -  720
Citations -  14634

Pietro Ferraro is an academic researcher from National Research Council. The author has contributed to research in topics: Digital holography & Holography. The author has an hindex of 61, co-authored 653 publications receiving 12666 citations. Previous affiliations of Pietro Ferraro include Aeritalia & Centre national de la recherche scientifique.

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Light-responsive polymer brushes: active topographic cues for cell culture applications

TL;DR: This work synthesised Disperse Red 1 (DR1)-based photoresponsive polymer brushes and found that seeded human umbilical vein endothelial cells (HUVECs) oriented in the pattern direction, envisaging the possibility of using these surfaces as reconfigurable cell-instructive biomaterials for tissue engineering applications.
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Gold Nanorods and Nanoprisms Mediate Different Photothermal Cell Death Mechanisms In Vitro and In Vivo.

TL;DR: The synthesis of gold nanorods and nanoprisms with similar surface plasmon resonances in the near infrared (NIR) and comparable photothermal conversion efficiencies are described, and the response to NIR irradiation in two biological systems, melanoma cells and the small invertebrate Hydra vulgaris is characterized.
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Liquid refractometer based on interferometric fringe projection

TL;DR: In this paper, a fringe pattern produced by a reflective grating interferometer is imaged by a lens before passing through a cell containing the liquid sample under test, which produces changes in the spatial frequency of the projected pattern.
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Surface Plasmon Resonance Imaging by Holographic Enhanced Mapping

TL;DR: Holographic reconstructions of SPR images and real-time kinetic measurements are presented to show the capability of HoloSPR to provide a versatile imaging method for high-throughput SPR detection complementary to conventional SPR techniques.
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Improving holographic reconstruction by automatic Butterworth filtering for microelectromechanical systems characterization.

TL;DR: An automatic procedure, particularly suited in the case of high-roughness surfaces, is presented to selectively filter the spectrum, providing very low-noise reconstructed images, making this technique highly applicable for quantitative phase imaging in MEMS analysis.