title: Super-resolution imaging of neuronal dense-core vesicles.
abstract: Detection of fluorescence provides the foundation for many widely utilized and rapidly advancing microscopy techniques employed in modern biological and medical applications. Strengths of fluorescence include its sensitivity, specificity, and compatibility with live imaging. Unfortunately, conventional forms of fluorescence microscopy suffer from one major weakness, diffraction-limited resolution in the imaging plane, which hampers studies of structures with dimensions smaller than ~250 nm. Recently, this limitation has been overcome with the introduction of super-resolution fluorescence microscopy techniques, such as photoactivated localization microscopy (PALM). Unlike its conventional counterparts, PALM can produce images with a lateral resolution of tens of nanometers. It is thus now possible to use fluorescence, with its myriad strengths, to elucidate a spectrum of previously inaccessible attributes of cellular structure and organization. Unfortunately, PALM is not trivial to implement, and successful strategies often must be tailored to the type of system under study. In this article, we show how to implement single-color PALM studies of vesicular structures in fixed, cultured neurons. PALM is ideally suited to the study of vesicles, which have dimensions that typically range from ~50-250 nm. Key steps in our approach include labeling neurons with photoconvertible (green to red) chimeras of vesicle cargo, collecting sparsely sampled raw images with a super-resolution microscopy system, and processing the raw images to produce a high-resolution PALM image. We also demonstrate the efficacy of our approach by presenting exceptionally well-resolved images of dense-core vesicles (DCVs) in cultured hippocampal neurons, which refute the hypothesis that extrasynaptic trafficking of DCVs is mediated largely by DCV clusters.
authors.affiliation: Department of Physics, Lewis & Clark College; Program in Biochemistry and Molecular Biology, Lewis & Clark College; bethe@lclark.edu.
authors.forename: Bethe A
authors.initials: BA
authors.lastname: Scalettar
authors.affiliation: Program in Biochemistry and Molecular Biology, Lewis & Clark College.
authors.forename: Daniel
authors.initials: D
authors.lastname: Shaver
authors.affiliation: Jungers Center for Neuroscience Research, Oregon Health & Science University.
authors.forename: Stefanie
authors.initials: S
authors.lastname: Kaech
authors.affiliation: Program in Biochemistry and Molecular Biology, Lewis & Clark College; Department of Chemistry, Lewis & Clark College.
authors.forename: Janis E
authors.initials: JE
authors.lastname: Lochner
mesh_terms: D000818:Animals; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008856:Microscopy, Fluorescence / Q000379:methods*; D009474:Neurons / Q000648:ultrastructure*; D022142:Secretory Vesicles / Q000648:ultrastructure*