Advanced search

Filter By:

Journal Check one or more journals to show results from those journals only.

Choose more journals

Article type Check one or more article types to show results from those article types only.
Subject Check one or more subjects to show results from those subjects only.
Date Choose a date option to show results from those dates only.

Custom date range

Clear all filters
Sort by:
Showing 1–7 of 7 results
Advanced filters: Author: Pablo Carravilla Clear advanced filters

  • Photoconversion of popular organic dyes results in blue-shifted emission and altered fluorescence lifetimes that can cause artifacts in quantitative microscopy. These can be avoided through proper labeling strategies such as using exchangeable dyes.

    • Anindita Dasgupta
    • Agnes Koerfer
    • Pablo Carravilla
    ResearchOpen Access
    Nature Methods
    Volume: 21, P: 1171-1174

  • Membrane fluidity is a crucial feature in understanding cellular physiology. This protocol describes a robust pipeline for measuring plasma membrane fluidity using confocal imaging and new environment-sensitive probes.

    • Pablo Carravilla
    • Luca Andronico
    • Erdinc Sezgin
    Protocols
    Nature Protocols
    Volume: 20, P: 1976-2004

  • The Membrane-Proximal External Region (MPER) of the HIV Env gp41 subunit is a target for broadly neutralizing antibodies. Here, the authors apply super-resolution stimulated emission depletion (STED) microscopy on single virions and provide insights into how the MPER epitope is recognized.

    • Pablo Carravilla
    • Jakub Chojnacki
    • José L. Nieva
    ResearchOpen Access
    Nature Communications
    Volume: 10, P: 1-11

  • To become infectious, HIV-1 particles undergo a maturation process involving the clustering of envelope glycoprotein Env. Here, Chojnacki et al. employ super-resolution STED-FCS microscopy to study dynamics of Env molecules on HIV-1 particles and show that Env undergoes a maturation-induced increase in mobility.

    • Jakub Chojnacki
    • Dominic Waithe
    • Christian Eggeling
    ResearchOpen Access
    Nature Communications
    Volume: 8, P: 1-10

  • Deep learning enables restoration of noisy 2D and 3D STED images for long-term super-resolution imaging.

    • Vahid Ebrahimi
    • Till Stephan
    • Kyu Young Han
    ResearchOpen Access
    Communications Biology
    Volume: 6, P: 1-8