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Juan Mata Pavia

Researcher at University of Zurich

Publications -  11
Citations -  1741

Juan Mata Pavia is an academic researcher from University of Zurich. The author has contributed to research in topics: Optical tomography & Single-photon avalanche diode. The author has an hindex of 8, co-authored 11 publications receiving 1276 citations. Previous affiliations of Juan Mata Pavia include École Polytechnique Fédérale de Lausanne.

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A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology.

TL;DR: The aim of this publication is to review the current state of instrumentation and methodology of continuous wave fNIRI, and provides an overview of the commercially available instruments and address instrumental aspects such as light sources, detectors and sensor arrangements.
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A 30-frames/s, $252\times144$ SPAD Flash LiDAR With 1728 Dual-Clock 48.8-ps TDCs, and Pixel-Wise Integrated Histogramming

TL;DR: A flash LiDAR using direct time of flight (dTOF) and based on Ocelot is demonstrated, achieving depth imaging at short distances with a frame rate of 30 frames/s, employing an ultra-low power laser.
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A 1 × 400 Backside-Illuminated SPAD Sensor With 49.7 ps Resolution, 30 pJ/Sample TDCs Fabricated in 3D CMOS Technology for Near-Infrared Optical Tomography

TL;DR: A 1 × 400 array of backside-illuminated SPADs fabricated in 130 nm 3D IC CMOS technology for near-infrared optical tomography (NIROT) systems for brain imaging and diagnostics proved its suitability for NIROT applications.
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Measurement and modeling of microlenses fabricated on single-photon avalanche diode arrays for fill factor recovery

TL;DR: A new simulation software that can be used to simulate microlens' performance under different conditions and a new non-destructive contact-less method to estimate the height of the microlenses are presented.
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Single-Photon Avalanche Diode Imagers Applied to Near-Infrared Imaging

TL;DR: In this paper, a single-photon avalanche diodes (SPADs) were integrated into a NIRI setup to demonstrate how it can improve spatial resolution in reconstructed images.