Huygens Minflux analysis
Render and analyze MINFLUX data fast and easy.
- Available as an add-on for all Huygens LOCALIZER smlm packages (Basic, Plus, Extended).-
MINFLUX (Minimal photon FLUX) is a fairly new super-resolution imaging technique that combines characteristics of single molecule localization microscopy (SMLM) and Stimulated Emission Depletion (STED) microscopy. Like STED, this fluorescent imaging system was developed by the group of Stephan Hell 1, and is commercially available through Abberior Instruments GmbH.
Equipped with this new Huygens Minflux option, our powerful smlm analysis software package Huygens Localizer can read MINFLUX (raw) data as a .json file. With its very user-friendly interface, Huygens Localizer can use the positions of Minflux particles to generate a density map and a 2D, or 3D rendered image. Parameters for filtering and sampling, and the rendering mode can be easily tweaked, and the effect is directly visualized with the on-the-fly rendering option. Rendered images can be exported to the main window of Huygens Localizer where visualization tools such as the Slicer, Twin Slicer, and MIP renderer are at hand. A comprehensive set of Look-Up-Table options and depth-coded coloring modes facilitate the presentation of imaged features.
Your Huygens Localizer package with the Minflux option can be easily expanded with Huygens Cluster Analyzer and Object Analyzer Basic if you are interested in cluster objects options, respectively.
All Localizer packages include an Everywhere login account, which allows the use of Localizer on any computer connected to the internet.
Features relevant for Minflux analysis:
- Reading raw MinFlux data(sets) exported as json.
- Merging/Averaging localizations originating from the same particle based on the traceID
- Various options for filtering and rendering the list of particles
- Easy cropping of the localizations to minimize computational load
- Render a density map or 2D/3D image of the particle with adjustable settings
- 2D Slicer/Twin Slicer and 3D MIP renderer available for high quality visualization
Note that the table cropper can be used to extract interesting features from the dataset. This allows to render and analyze parts of the dataset at even higher resolution.
References:
1. Francisco Balzarotti et al. Nanometer resolution imaging and tracking of fluorescent molecules with minimal photon fluxes. Science 355,606-612 (2017). Doi.org/10.1126/science.aak9913