<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Parfentyeva V</submitter><funding>Generalitat de Catalunya</funding><funding>ISCIII</funding><funding>European Union</funding><funding>LUX4MED special program</funding><funding>“Severo Ochoa” Programme for Centres of Excellence in R&amp;amp;D</funding><funding>FEDER EC</funding><funding>Agencia Estatal de Investigación</funding><funding>Fundació Mir-Puig</funding><funding>Fundació CELLEX Barcelona</funding><funding>SME Instrument SQP</funding><funding>TV3 La Marato</funding><pagination>11982</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10366131</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>13(1)</volume><pubmed_abstract>Time-domain diffuse correlation spectroscopy (TD-DCS) has been introduced as an advancement of the "classical" continuous wave DCS (CW-DCS) allowing one to not only to measure depth-resolved blood flow index (BFI) but also to extract optical properties of the measured medium without using any additional diffuse optics technique. However, this method is a photon-starved technique, specially when considering only the late photons that are of primary interest which has limited its in vivo application. In this work, we present a TD-DCS system based on a superconducting nanowire single-photon detector (SNSPD) with a high quantum efficiency, a narrow timing response, and a negligibly low dark count noise. We compared it to the typically used single-photon avalanche diode (SPAD) detector. In addition, this system allowed us to conduct fast in vivo measurements and obtain gated pulsatile BFI on the adult human forehead.</pubmed_abstract><journal>Scientific reports</journal><pubmed_title>Fast time-domain diffuse correlation spectroscopy with superconducting nanowire single-photon detector: system validation and in vivo results.</pubmed_title><pmcid>PMC10366131</pmcid><funding_grant_id>848827</funding_grant_id><funding_grant_id>871124</funding_grant_id><pubmed_authors>Lanka P</pubmed_authors><pubmed_authors>Parfentyeva V</pubmed_authors><pubmed_authors>Re R</pubmed_authors><pubmed_authors>Pifferi A</pubmed_authors><pubmed_authors>Noordzij N</pubmed_authors><pubmed_authors>Dalla Mora A</pubmed_authors><pubmed_authors>Contini D</pubmed_authors><pubmed_authors>Colombo L</pubmed_authors><pubmed_authors>Kolarczik M</pubmed_authors><pubmed_authors>Durduran T</pubmed_authors><pubmed_authors>Torricelli A</pubmed_authors><pubmed_authors>Brodu A</pubmed_authors><pubmed_authors>Pagliazzi M</pubmed_authors></additional><is_claimable>false</is_claimable><name>Fast time-domain diffuse correlation spectroscopy with superconducting nanowire single-photon detector: system validation and in vivo results.</name><description>Time-domain diffuse correlation spectroscopy (TD-DCS) has been introduced as an advancement of the "classical" continuous wave DCS (CW-DCS) allowing one to not only to measure depth-resolved blood flow index (BFI) but also to extract optical properties of the measured medium without using any additional diffuse optics technique. However, this method is a photon-starved technique, specially when considering only the late photons that are of primary interest which has limited its in vivo application. In this work, we present a TD-DCS system based on a superconducting nanowire single-photon detector (SNSPD) with a high quantum efficiency, a narrow timing response, and a negligibly low dark count noise. We compared it to the typically used single-photon avalanche diode (SPAD) detector. In addition, this system allowed us to conduct fast in vivo measurements and obtain gated pulsatile BFI on the adult human forehead.</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Jul</publication><modification>2025-04-05T14:52:28.212Z</modification><creation>2025-04-05T14:52:28.212Z</creation></dates><accession>S-EPMC10366131</accession><cross_references><pubmed>37488188</pubmed><doi>10.1038/s41598-023-39281-5</doi></cross_references></HashMap>