title: Quantitative analysis of three-dimensional fluorescence localization microscopy data.
abstract: Identifying the three-dimensional molecular organization of subcellular organelles in intact cells has been challenging to date. Here we present an analysis approach for three-dimensional localization microscopy that can not only identify subcellular objects below the diffraction limit but also quantify their shape and volume. This approach is particularly useful to map the topography of the plasma membrane and measure protein distribution within an undulating membrane.
authors.affiliation: Centre for Vascular Research and Australian Centre for Nanomedicine, University of New South Wales, Sydney, Australia.
authors.forename: Dylan M
authors.initials: DM
authors.lastname: Owen
authors.forename: David J
authors.initials: DJ
authors.lastname: Williamson
authors.forename: Lies
authors.initials: L
authors.lastname: Boelen
authors.forename: Astrid
authors.initials: A
authors.lastname: Magenau
authors.forename: Jérémie
authors.initials: J
authors.lastname: Rossy
authors.forename: Katharina
authors.initials: K
authors.lastname: Gaus
mesh_terms: D002462:Cell Membrane / Q000737:chemistry / Q000648:ultrastructure; D003627:Data Interpretation, Statistical; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008856:Microscopy, Fluorescence / Q000379:methods*