P
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.
Papers
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Journal ArticleDOI
Digital Holography, a metrological tool for quantitative analysis: Trends and future applications
Melania Paturzo,Vito Pagliarulo,Vittorio Bianco,Pasquale Memmolo,Lisa Miccio,Francesco Merola,Pietro Ferraro +6 more
TL;DR: It is shown that this powerful method can be a key metrological tool for the quantitative analysis and non-invasive inspection of a variety of materials, devices and processes, including the study of live biological matter and biomedical applications.
Journal ArticleDOI
Digital self-referencing quantitative phase microscopy by wavefront folding in holographic image reconstruction.
Giuseppe Coppola,G. Di Caprio,Mariano Gioffrè,Roberto Puglisi,Donatella Balduzzi,A. Galli,Lisa Miccio,Melania Paturzo,Simonetta Grilli,Andrea Finizio,Pietro Ferraro +10 more
TL;DR: A completely numerical method, named digital self-referencing holography, is described to easily accomplish a quantitative phase microscopy for microfluidic devices by a digital holographic microscope.
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Microplastic Identification via Holographic Imaging and Machine Learning
Vittorio Bianco,Pasquale Memmolo,Pierluigi Carcagnì,Francesco Merola,Melania Paturzo,Cosimo Distante,Pietro Ferraro +6 more
TL;DR: In this paper, a new approach is presented that combines 3D coherent imaging with machine learning to achieve accurate and automatic detection of microplastics in filtered water samples in a wide range at microscale.
Journal ArticleDOI
Random resampling masks: a non-Bayesian one-shot strategy for noise reduction in digital holography
Vittorio Bianco,Melania Paturzo,Pasquale Memmolo,Andrea Finizio,Pietro Ferraro,Bahram Javidi +5 more
TL;DR: A fast non-Bayesian denoising method is proposed that avoids this trade-off by means of a numerical synthesis of a moving diffuser and shows a significant incoherent noise reduction, close to the theoretical improvement bound, resulting in image-contrast improvement.
Journal ArticleDOI
Correct-image reconstruction in the presence of severe anamorphism by means of digital holography.
TL;DR: It is demonstrated for the first time to the authors' knowledge that digital holographic image reconstruction can be applied to correction of image reconstruction in the presence of severe anamorphism and aberrations.