Journal
NATURE METHODS
Volume 15, Issue 9, Pages 689-+Publisher
NATURE PUBLISHING GROUP
DOI: 10.1038/s41592-018-0072-5
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Funding
- Royal Society (University Research Fellowship)
- Leverhulme Trust [RPG-2015-105]
- Human Frontier Science Program [RGP0035/2016]
- BBSRC [BB/K01563X/1, BB/N022696/1]
- MRC (Next Generation Optical Imaging grant) [MR/K015664/1, G1100041]
- British Heart Foundation [RG/15/8/31480]
- BBSRC [BB/K01563X/1, BB/N022696/1] Funding Source: UKRI
- MRC [MR/J010456/1, G1100041, MR/R003106/1, MR/K015664/1] Funding Source: UKRI
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High-density analysis methods for localization microscopy increase acquisition speed but produce artifacts. We demonstrate that these artifacts can be eliminated by the combination of Haar wavelet kernel (HAWK) analysis with standard single-frame fitting. We tested the performance of this method on synthetic, fixed-cell, and live-cell data, and found that HAWK preprocessing yielded reconstructions that reflected the structure of the sample, thus enabling highspeed, artifact-free super-resolution imaging of live cells.
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