%0 Journal Article %1 wolter2012rapidstorm %A Wolter, Steve %A Loschberger, Anna %A Holm, Thorge %A Aufmkolk, Sarah %A Dabauvalle, Marie-Christine %A van de Linde, Sebastian %A Sauer, Markus %D 2012 %I Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved. %J Nat Meth %K linde sauer %N 11 %P 1040--1041 %T rapidSTORM: accurate, fast open-source software for localization microscopy %U http://dx.doi.org/10.1038/nmeth.2224 %V 9 %X To the Editor In recent years, there has been a dramatic increase in the use of localization microscopy: that is, super-resolution fluorescence imaging by stochastic photoswitching, photoactivation or other fluorescence-generating processes. The evaluation of localization microscopy data with a Gaussian model of the point-spread function (PSF) is a common and cogent technique, and Poissonian maximum-likelihood estimator (MLE) fitting of the Gaussian model has been shown to yield optimal precision. However, current software support is based on less precise approximations of MLE fitting or is slow, hardware dependent, closed source or unmaintained. Many advances have been made with unpublished or prototypical software packages, leaving established labs with homemade software and new labs with immense technology entry costs. This state has weakened the core strengths of localization microscopy: cost-efficiency and experimental simplicity.

@article{wolter2012rapidstorm, abstract = {To the Editor In recent years, there has been a dramatic increase in the use of localization microscopy: that is, super-resolution fluorescence imaging by stochastic photoswitching, photoactivation or other fluorescence-generating processes. The evaluation of localization microscopy data with a Gaussian model of the point-spread function (PSF) is a common and cogent technique, and Poissonian maximum-likelihood estimator (MLE) fitting of the Gaussian model has been shown to yield optimal precision. However, current software support is based on less precise approximations of MLE fitting or is slow, hardware dependent, closed source or unmaintained. Many advances have been made with unpublished or prototypical software packages, leaving established labs with homemade software and new labs with immense technology entry costs. This state has weakened the core strengths of localization microscopy: cost-efficiency and experimental simplicity.}, added-at = {2013-01-31T15:11:39.000+0100}, author = {Wolter, Steve and Loschberger, Anna and Holm, Thorge and Aufmkolk, Sarah and Dabauvalle, Marie-Christine and van de Linde, Sebastian and Sauer, Markus}, biburl = {https://www.bibsonomy.org/bibtex/205120b72659ceed2e74475107ffae0ec/reichert}, comment = {10.1038/nmeth.2224}, interhash = {2e2e436ceda79288f98b06465184ca1f}, intrahash = {05120b72659ceed2e74475107ffae0ec}, issn = {15487091}, journal = {Nat Meth}, keywords = {linde sauer}, month = nov, number = 11, pages = {1040--1041}, publisher = {Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved.}, timestamp = {2013-01-31T15:14:47.000+0100}, title = {rapidSTORM: accurate, fast open-source software for localization microscopy}, url = {http://dx.doi.org/10.1038/nmeth.2224}, volume = 9, year = 2012 }