Real-Time analysis and visualization for single-molecule based super-resolution microscopy
- Accurate multidimensional localization of isolated fluorescent emitters is a time consuming process in single-molecule based super-resolution microscopy. We demonstrate a functional method for real-time reconstruction with automatic feedback control, without compromising the localization accuracy. Compatible with high frame rates of EM-CCD cameras, it relies on a wavelet segmentation algorithm, together with a mix of CPU/GPU implementation. A combination with Gaussian fitting allows direct access to 3D localization. Automatic feedback control ensures optimal molecule density throughout the acquisition process. With this method, we significantly improve the efficiency and feasibility of localization-based super-resolution microscopy.
Author: | Adel Kechkar, Deepak Nair, Mike HeilemannORCiDGND, Daniel Choquet, Jean-Baptiste SibaritaORCiD |
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URN: | urn:nbn:de:hebis:30:3-294966 |
DOI: | https://doi.org/10.1371/journal.pone.0062918 |
ISSN: | 1932-6203 |
Parent Title (English): | PLoS One |
Publisher: | PLoS [u.a.] |
Place of publication: | Lawrence, Kan. |
Document Type: | Article |
Language: | English |
Date of first Publication: | 2013/04/30 |
Publishing Institution: | Universitätsbibliothek Johann Christian Senckenberg |
Release Date: | 2013/05/03 |
Volume: | 8 |
Issue: | (4): e62918 |
Page Number: | 10 |
HeBIS-PPN: | 338741801 |
Institutes: | Biochemie, Chemie und Pharmazie / Biochemie und Chemie |
Dewey Decimal Classification: | 5 Naturwissenschaften und Mathematik / 54 Chemie / 540 Chemie und zugeordnete Wissenschaften |
Sammlungen: | Universitätspublikationen |
Licence (German): | Creative Commons - Namensnennung 3.0 |