This title appears in the Scientific Report :
2015
Please use the identifier:
http://dx.doi.org/10.1038/srep11073 in citations.
Please use the identifier: http://hdl.handle.net/2128/8899 in citations.
SNSMIL, a real-time single molecule identification and localization algorithm for super-resolution fluorescence microscopy
SNSMIL, a real-time single molecule identification and localization algorithm for super-resolution fluorescence microscopy
Single molecule localization based super-resolution fluorescence microscopy offers significantly higher spatial resolution than predicted by Abbe’s resolution limit for far field optical microscopy. Such super-resolution images are reconstructed from wide-field or total internal reflection single mo...
Saved in:
Personal Name(s): | Tang, Yunqing |
---|---|
Dai, Luru / Zhang, Xiaoming / Li, Junbai / Hendriks, Johnny / Fan, Xiaoming / Gruteser, Nadine / Meisenberg, Annika / Baumann, A. / Katranidis, Alexandros / Gensch, Thomas (Corresponding Author) | |
Contributing Institute: |
Molekulare Biophysik; ICS-5 Zelluläre Biophysik; ICS-4 |
Published in: | Scientific reports, 5 (2015) S. 11073 - |
Imprint: |
London
Nature Publishing Group
2015
|
DOI: |
10.1038/srep11073 |
PubMed ID: |
26098742 |
Document Type: |
Journal Article |
Research Program: |
Engineering Cell Function |
Link: |
OpenAccess OpenAccess |
Publikationsportal JuSER |
Please use the identifier: http://hdl.handle.net/2128/8899 in citations.
Single molecule localization based super-resolution fluorescence microscopy offers significantly higher spatial resolution than predicted by Abbe’s resolution limit for far field optical microscopy. Such super-resolution images are reconstructed from wide-field or total internal reflection single molecule fluorescence recordings. Discrimination between emission of single fluorescent molecules and background noise fluctuations remains a great challenge in current data analysis. Here we present a real-time, and robust single molecule identification and localization algorithm, SNSMIL (Shot Noise based Single Molecule Identification and Localization). This algorithm is based on the intrinsic nature of noise, i.e., its Poisson or shot noise characteristics and a new identification criterion, QSNSMIL, is defined. SNSMIL improves the identification accuracy of single fluorescent molecules in experimental or simulated datasets with high and inhomogeneous background. The implementation of SNSMIL relies on a graphics processing unit (GPU), making real-time analysis feasible as shown for real experimental and simulated datasets. |