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Preparation of Mica and Silicon Substrates for DNA Origami Analysis and Experimentation
Published on: July 23, 2015
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3D super-resolution microscopy performance and quantitative analysis assessment using DNA-PAINT and DNA origami test
Ruisheng Lin1, Alexander H Clowsley1, Tobias Lutz1
1Living Systems Institute and Biomedical Physics, University of Exeter, United Kingdom.
Methods (San Diego, Calif.)
|May 27, 2019
Summary
New test samples for 3D and quantitative super-resolution microscopy are presented. These cost-effective samples offer straightforward assessment of imaging quality for advanced microscopy techniques.
Area of Science:
- Microscopy
- Biophysics
- Nanotechnology
Background:
- Accurate characterization of imaging setups is crucial for localization-based super-resolution techniques.
- Existing 2D imaging test samples are insufficient for specialized 3D and quantitative super-resolution methods.
- Robust and accessible test samples are needed for reliable performance feedback and method development.
Purpose of the Study:
- To introduce and analyze robust test samples for 3D and quantitative super-resolution imaging.
- To provide straightforward, cost-effective tools for assessing advanced microscopy performance.
- To facilitate the implementation of new super-resolution imaging methods.
Main Methods:
- Utilized microspheres functionalized for DNA-PAINT for 3D imaging quality assessment.
- Employed a commercial DNA origami sample for evaluating 3D imaging.
- Demonstrated a workflow for establishing and assessing quantitative PAINT (qPAINT) using a commercial DNA origami sample.
Main Results:
- Presented two viable options for assessing 3D super-resolution imaging quality.
- Showcased a method for establishing and evaluating qPAINT workflows for quantitative imaging.
- Confirmed the utility of the developed test samples for routine performance feedback.
Conclusions:
- Developed test samples enable robust assessment of 3D and quantitative super-resolution imaging.
- These samples are user-friendly, cost-effective, and require minimal specialized laboratory skills.
- The findings support broader adoption and reliable application of advanced super-resolution microscopy techniques.
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