3 articles published in JoVE
Single Extracellular Vesicle Transmembrane Protein Characterization by Nano-Flow Cytometry Rebecca Lees*1, Robert Tempest*1, Alice Law*1, Dimitri Aubert*1, Owen G. Davies*2, Soraya Williams*2, Nick Peake*3, Ben Peacock*1 1NanoFCM Co., Ltd, 2School of Sport, Exercise and Health Sciences, Loughborough University, 3Biomolecular Sciences Research Centre, Sheffield Hallam University The latest generation of EV characterization tools are capable of single EV analysis across multiple parameters simultaneously. Nano-flow cytometry measures all biological particles larger than 45 nm without labeling and identifies specific characteristics of subpopulations by a variety of fluorescent labeling techniques.
Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community Ana-Maria Bliuc1, Muhammad Iqbal2, David Best3 1School of Social Sciences and Psychology, Western Sydney University, 2Institute for Sustainable Industries and Liveable Cities (ISILC), Victoria University, 3Centre for Regional Economic and Social Research, Sheffield Hallam University The article describes a novel approach for analyzing dynamic online social interactions (in an online context) exemplified by a study of an online community of recovery from alcohol and drug addiction.
Investigating the 'Uncatchable Smile' in Leonardo da Vinci's La Bella Principessa: A Comparison with the Mona Lisa and Pollaiuolo's Portrait of a Girl Alessandro Soranzo1, Michelle Newberry1 1Department of Psychology, Sociology and Politics, Sheffield Hallam University This paper discusses the methodology used to reveal the 'Uncatchable Smile' illusion in Leonardo da Vinci's La Bella Principessa portrait. A combination of three methods was used (inter-observation, structured interviews, and psychophysical experiments), which led to an investigation that shaped itself without prior beliefs, thus reducing potential researcher bias.