vLUME: 3D virtual reality for single-molecule localization microscopy

Super-Resolution (SR) Microscopy based on 3D Single-Molecule Localization Microscopy (SMLM) is now well established1,2 and its wide-spread adoption has led to the development of more than 36 software packages, dedicated to quantitative evaluation of the spatial and temporal detection of fluorophore photoswitching3. While the initial emphasis in the 3D SMLM field has clearly been on improving resolution and data quality, there is now a marked absence of 3D visualization approaches that enable the straightforward, high-fidelity exploration of this type of data. Inspired by the horological phosphorescence points that illuminate watch-faces in the dark, we present vLUME (Visualization of the Universe in a Micro Environment, pronounced ‘volume’) a free-for-academic-use immersive virtual reality-based (VR) visualization software package purposefully designed to render large 3D-SMLM data sets. vLUME enables robust visualization, segmentation and quantification of millions of fluorescence puncta from any 3D SMLM technique. vLUME has an intuitive user-interface and is compatible with all commercial VR hardware (Oculus Rift/Quest and HTC Vive, Supplementary Video 1). vLUME accelerates the analysis of highly complex 3D point-cloud data and the rapid identification of defects that are otherwise neglected in global quality metrics.

[1]  Ricardo Henriques,et al.  Artificial intelligence for microscopy: what you should know. , 2019, Biochemical Society transactions.

[2]  Y. Shechtman,et al.  Three-Dimensional Localization of Single Molecules for Super-Resolution Imaging and Single-Particle Tracking. , 2017, Chemical reviews.

[3]  Mark M Davis,et al.  TCR and Lat are expressed on separate protein islands on T cell membranes and concatenate during activation , 2010, Nature Immunology.

[4]  Guy M. Hagen,et al.  ThunderSTORM: a comprehensive ImageJ plug-in for PALM and STORM data analysis and super-resolution imaging , 2014, Bioinform..

[5]  Michael A Thompson,et al.  Super-resolution imaging of the nucleoid-associated protein HU in Caulobacter crescentus. , 2011, Biophysical journal.

[6]  Michael Unser,et al.  Super-resolution fight club: Assessment of 2D & 3D single-molecule localization microscopy software , 2019, Nature Methods.

[7]  M. Dahan,et al.  ViSP: representing single-particle localizations in three dimensions , 2013, Nature Methods.

[8]  W. E. Moerner,et al.  Small-Molecule Labeling of Live Cell Surfaces for Three-Dimensional Super-Resolution Microscopy , 2014, Journal of the American Chemical Society.

[9]  D. Klenerman,et al.  PSD95 nanoclusters are postsynaptic building blocks in hippocampus circuits , 2016, Scientific Reports.

[10]  C. Zimmer,et al.  QuickPALM: 3D real-time photoactivation nanoscopy image processing in ImageJ , 2010, Nature Methods.

[11]  Patrick Rubin-Delanchy,et al.  3D Bayesian cluster analysis of super-resolution data reveals LAT recruitment to the T cell synapse , 2017, Scientific Reports.