Improving the resolution of microscope by deconvolution after dense scan
- Published
- Accepted
- Subject Areas
- Computer Vision, Scientific Computing and Simulation, Visual Analytics
- Keywords
- super-resolution, microscope, deconvolution, dense scan, manual deconvolution, conceptual convolution
- Copyright
- © 2019 Xie
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2019. Improving the resolution of microscope by deconvolution after dense scan. PeerJ Preprints 7:e27849v2 https://doi.org/10.7287/peerj.preprints.27849v2
Abstract
Super-resolution microscopes (such as STED) illuminate samples with a tiny spot, and achieve very high resolution. But structures smaller than the spot cannot be resolved in this way. Therefore, we propose a technique to solve this problem. It is termed “Deconvolution after Dense Scan (DDS)”. First, a preprocessing stage is introduced to eliminate the optical uncertainty of the peripheral areas around the sample’s ROI (Region of Interest). Then, the ROI is scanned densely together with its peripheral areas. Finally, the high resolution image is recovered by deconvolution. The proposed technique does not need to modify the apparatus much, and is mainly performed by algorithm. Simulation experiments show that the technique can further improve the resolution of super-resolution microscopes.
Author Comment
I changed the abbreviation of the proposed technique. This change is minor but important.