Research output: Contribution to journal › Article › peer-review
Richard J. Marsh, Karin Pfisterer, Pauline Bennett, Liisa M Hirvonen, Mathias Gautel, Gareth E. Jones, Susan Cox
Original language | English |
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Pages (from-to) | 689-692 |
Journal | NATURE METHODS |
Volume | 15 |
Early online date | 30 Jul 2018 |
DOIs | |
Accepted/In press | 8 Jun 2018 |
E-pub ahead of print | 30 Jul 2018 |
Published | Sep 2018 |
Artefact-free high density_MARSH_Accepted8June2018_GREEN AAM
Artefact_free_high_density_MARSH_Accepted8June2018_GREEN_AAM.pdf, 637 KB, application/pdf
Uploaded date:02 Aug 2018
Version:Accepted author manuscript
Artefact-free high density SUPP INFO_MARSH_Accepted8June2018_GREEN AAM
Artefact_free_high_density_SUPP_INFO_MARSH_Accepted8June2018_GREEN_AAM.pdf, 3.07 MB, application/pdf
Uploaded date:02 Aug 2018
Version:Accepted author manuscript
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 high-speed, artifact-free super-resolution imaging of live cells.
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