High-density volumetric super-resolution microscopy
Sam Daly,
João Ferreira Fernandes,
Ezra Bruggeman,
Anoushka Handa,
Ruby Peters,
Sarah Benaissa,
Boya Zhang,
Joseph S. Beckwith,
Edward W. Sanders,
Ruth R. Sims,
David Klenerman,
Simon J. Davis,
Kevin O’Holleran and
Steven F. Lee ()
Additional contact information
Sam Daly: University of Cambridge
João Ferreira Fernandes: University of Oxford
Ezra Bruggeman: University of Cambridge
Anoushka Handa: University of Cambridge
Ruby Peters: University of Cambridge
Sarah Benaissa: University of Cambridge
Boya Zhang: University of Cambridge
Joseph S. Beckwith: University of Cambridge
Edward W. Sanders: University of Cambridge
Ruth R. Sims: Sorbonne Université, INSERM, CNRS, Institut de la Vision
David Klenerman: University of Cambridge
Simon J. Davis: University of Oxford
Kevin O’Holleran: University of Cambridge
Steven F. Lee: University of Cambridge
Nature Communications, 2024, vol. 15, issue 1, 1-10
Abstract:
Abstract Volumetric super-resolution microscopy typically encodes the 3D position of single-molecule fluorescence into a 2D image by changing the shape of the point spread function (PSF) as a function of depth. However, the resulting large and complex PSF spatial footprints reduce biological throughput and applicability by requiring lower labeling densities to avoid overlapping fluorescent signals. We quantitatively compare the density dependence of single-molecule light field microscopy (SMLFM) to other 3D PSFs (astigmatism, double helix and tetrapod) showing that SMLFM enables an order-of-magnitude speed improvement compared to the double helix PSF by resolving overlapping emitters through parallax. We demonstrate this optical robustness experimentally with high accuracy ( > 99.2 ± 0.1%, 0.1 locs μm−2) and sensitivity ( > 86.6 ± 0.9%, 0.1 locs μm−2) through whole-cell (scan-free) imaging and tracking of single membrane proteins in live primary B cells. We also exemplify high-density volumetric imaging (0.15 locs μm−2) in dense cytosolic tubulin datasets.
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-45828-5
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DOI: 10.1038/s41467-024-45828-5
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