ArticleScientific reports2015
SNSMIL, a real-time single molecule identification and localization algorithm for super-resolution fluorescence microscopy.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Quality control maps: Real-time quantitative control of single-molecule localization microscopy data.Biophysical journal · 2025Article
- Growth-rate dependency of ribosome abundance and translation elongation rate in Corynebacterium glutamicum differs from that in Escherichia coli.Nature communications · 2023Article
- Dual-color Colocalization in Single-molecule Localization Microscopy to Determine the Oligomeric State of Proteins in the Plasma Membrane.Bio-protocol · 2023Article
- Article
- Real-time 3D single-molecule localization microscopy analysis using lookup tables.Biomedical optics express · 2021Article
- Correcting Artifacts in Single Molecule Localization Microscopy Analysis Arising from Pixel Quantum Efficiency Differences in sCMOS Cameras.Scientific reports · 2019Article
- Autophagy-Related Proteins GABARAP and LC3B Label Structures of Similar Size but Different Shape in Super-Resolution Imaging.Molecules (Basel, Switzerland) · 2019Article
- Rapid Turnover of the Cardiac L-Type CaiScience · 2018Article
- Multiplane and Spectrally-Resolved Single Molecule Localization Microscopy with Industrial Grade CMOS cameras.Scientific reports · 2018Article
- Automatic Bayesian single molecule identification for localization microscopy.Scientific reports · 2016Article
- The Directional Observation of Highly Dynamic Membrane Tubule Formation Induced by Engulfed Liposomes.Scientific reports · 2015Article
Corrections and comments
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Authors and funding
11 authors.
Funding
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Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.