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Updated: Apr 4, 2026

07:12
Whole-cell Super-Resolution Imaging via DNA-PAINT on a Spinning Disk Confocal with Optical Photon Reassignment
Published on: January 6, 2026
669
Fluorogenic speed-optimized DNA-PAINT probes enable super-resolution imaging of whole cells
Sylvi Stoller1,2,3, Asmita Jha1, Joerg Bewersdorf1,2,3,4,5,6
1Department of Cell Biology, Yale School of Medicine, New Haven, CT, USA.
Biorxiv : the Preprint Server for Biology
|April 3, 2026
Summary
We developed a new DNA-PAINT probe architecture to overcome limitations in super-resolution microscopy. This modular design improves imaging speed and signal quality, enabling detailed molecular imaging in cells.
Area of Science:
- Biophysics
- Molecular Imaging
- Nanotechnology
Background:
- DNA-PAINT super-resolution microscopy offers molecular-scale, multiplexed, and quantitative imaging.
- Current limitations include slow probe binding kinetics and high background noise, hindering throughput.
- Existing speed-optimized probes face design constraints due to a binding-quenching tradeoff.
Purpose of the Study:
- To introduce a novel modular probe architecture for DNA-PAINT.
- To decouple probe binding kinetics from fluorophore-quencher interactions.
- To enhance imaging speed, signal-to-background ratio, and overall efficiency.
Main Methods:
- Designed a modular probe architecture integrating speed-optimized DNA motifs with PEG spacers.
- Utilized DNA origami nanostructures for probe assembly and characterization.
- Validated probe performance in cellular imaging of nuclear targets and endoplasmic reticulum.
Main Results:
- Demonstrated enhanced localization rates and signal-to-background ratios compared to existing probes.
- Achieved improved imaging efficiency using the new modular probe architecture.
- Successfully applied the probes for 3D imaging of cellular structures with standard widefield illumination.
Conclusions:
- The modular probe architecture effectively overcomes key limitations in DNA-PAINT super-resolution microscopy.
- This approach enables faster, more efficient, and lower-background molecular imaging.
- The developed framework supports advanced multiplexed and 3D super-resolution imaging applications.
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