Showing results (21-30 of 53) with videos related to
Sort By:
Pageof 6
Optics Express|September 13, 2019
Time resolved Brillouin fiber-spectrometerSalvatore La Cavera, Fernando Pérez-Cota, Rafael Fuentes-Domínguez, et al.Scientific Reports|December 21, 2016
High resolution 3D imaging of living cells with sub-optical wavelength phononsFernando Pérez-Cota, Richard J Smith, Emilia Moradi, et al.Applied Optics|October 20, 2015
Thin-film optoacoustic transducers for subcellular Brillouin oscillation imaging of individual biological cellsFernando Pérez-Cota, Richard J Smith, Emilia Moradi, et al.Journal of Environmental Management|May 15, 2019
Bringing forecasting into the future: Using Google to predict visitation in U.S. national parksMatt Clark, Emily J Wilkins, Dani T Dagan, et al.Nanoscale|July 2, 2020
Characterising the size and shape of metallic nano-structures by their acoustic vibrationsRafael Fuentes-Domínguez, Shakila Naznin, Leonel Marques, et al.Geroscience|December 20, 2023
Recapitulation of anti-aging phenotypes by global overexpression of PTEN in miceMary Hager, Peter Chang, Michael Lee, et al.Photoacoustics|December 9, 2024
Optoacoustic lenses for lateral sub-optical resolution elasticity imagingMengting Yao, Rafael Fuentes-Domínguez, Salvatore La Cavera, et al.Journal of Pharmacological and Toxicological Methods|May 4, 2025
Taking a deep breath: Evidence-based approaches to respiratory safety assessmentJohn J Kremer, Matt Bridgland-Taylor, Matt Clark, et al.Geroscience|December 21, 2022
Recapitulation of anti-aging phenotypes by global, but not by muscle-specific, deletion of PAPP-A in miceXinna Li, Mary Hager, Madaline McPherson, et al.European Radiology|August 25, 2022
Utility of pre-treatment FDG PET/CT-derived machine learning models for outcome prediction in classical Hodgkin lymphomaRussell Frood, Matt Clark, Cathy Burton, et al.Pageof 6