The fidelity of stochastic single-molecule super-resolution reconstructions critically depends upon robust background estimation
| Autor: | Marten Postma, Kees Jalink, Ronald M. P. Breedijk, Theodorus W. J. Gadella, Daniela Leyton-Puig, Eelco Hoogendoorn, Kevin C. Crosby |
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| Přispěvatelé: | Molecular Cytology (SILS, FNWI) |
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
Estimation
Multidisciplinary Nonmuscle Myosin Type IIA media_common.quotation_subject Fidelity Estimator Carbocyanines Biology Image Enhancement Superresolution Actins Vinculin Image (mathematics) Range (mathematics) Quality (physics) Cell Line Tumor Nuclear Microscopy Image Interpretation Computer-Assisted Median filter Humans Algorithm Algorithms Fluorescent Dyes HeLa Cells media_common |
| Zdroj: | Scientific Reports, 4:3854. Nature Publishing Group |
| ISSN: | 2045-2322 |
| Popis: | The quality of super resolution images obtained by stochastic single-molecule microscopy critically depends on image analysis algorithms. We find that the choice of background estimator is often the most important determinant of reconstruction quality. A variety of techniques have found use, but many have a very narrow range of applicability depending upon the characteristics of the raw data. Importantly, we observe that when using otherwise accurate algorithms, unaccounted background components can give rise to biases on scales defeating the purpose of super-resolution microscopy. We find that a temporal median filter in particular provides a simple yet effective solution to the problem of background estimation, which we demonstrate over a range of imaging modalities and different reconstruction methods. |
| Databáze: | OpenAIRE |
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