High-density volumetric super-resolution microscopy
Creators
- 1. Yusuf Hamied Department of Chemistry, Lensfield Road, University of Cambridge, Cambridge, CB2 1EW, UK
- 2. Radcliffe Department of Medicine and MRC Human Immunology Unit, John Radcliffe Hospital, University of Oxford, Oxford, OX3 9DU, UK
- 3. Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, CB2 3EL, UK
- 4. Cambridge Advanced Imaging Centre, Downing Site, University of Cambridge, Cambridge, CB2 3DY, UK
- 5. Wavefront-Engineering Microscopy Group, Photonics Department, Institut de la Vision, Sorbonne Université, INSERM, CNRS, Institut de la Vision, Paris, France
Description
Overview
Code and example data associated with 'High-density volumetric super-resolution microscopy' by Daly et al. including:
- 3D reconstruction code for single molecule light field microscopy,
- 3D single-particle tracking code,
- Code to compare single molecule data to ground truth coordinates, and
- Example raw SMLFM datasets.
Single molecule light field microscopy reconstruction
Authors: Ruth R. Sims, Kevin O'Holleran, Sohaib Abdul Rehman, Ezra Bruggeman and Sam Daly
Objective: It takes in 2D localisation data (x,y) captured on a fourier light field microscope and turns it into 3D localisations (x,y,z). It does this by first assigning (x,y) to (x,y,u,v) space and using microscope parameters to calculate z position via parallax.
Example data has been included (example_data_bcr_fixed_bcell.csv), which comprises 5,000 frames of a whole B cell membrane captured using single molecule light field microscopy.
For more information, see: https://doi.org/10.1364/OPTICA.397172
Single-particle tracking code
Groups 3D coordinates from a .csv file (i.e. [x y z frame]) into molecular trajectories based on user defined metrics. This code incorporates track.m by John C. Crocker (University of Chicago) and MLEs by Joseph S. Beckwith (University of Cambridge). For further details see the description within the tracking functions.
Example 3D data can be found in the folder 'example_data_bcr_tracking' that comprises some single particle tracking data collected from live B cells. The parameters contained in the distributed code enable instant 3D reconstruction of single trajectories of BCRs.
Matching codes
These scripts match fitted 2D/3D localisation datasets derived from simulations with their ground truth coodinates to determine positive predictive value and sensitivity for different 3D PSFs at increasing density.
Example raw localization datasets have been included for the standard PSF. To begin, run Standard.m and select the directory containing subfolders 'numEmittersPerFrame_X'.
Example Raw Data
Example raw SMLFM datasets to accompany the experimental component of the article. All three localization datasets (200 frames) have a pixel size of 266 nm, a bias of 400 counts, and a conversion gain of 40 counts/photon.
Notes
Files
3D tracking.zip
Additional details
Related works
- Is supplement to
- Preprint: 10.1101/2023.05.02.539032 (DOI)