%0 Journal Article %1 Sage2018 %A Sage, Daniel %A Pham, Thanh-An %A Babcock, Hazen %A Lukes, Tomas %A Pengo, Thomas %A Chao, Jerry %A Velmurugan, Ramraj %A Herbert, Alex %A Agrawal, Anurag %A Colabrese, Silvia %A Wheeler, Ann %A Archetti, Anna %A Rieger, Bernd %A Ober, Raimund %A Hagen, Guy M. %A Sibarita, Jean-Baptiste %A Ries, Jonas %A Henriques, Ricardo %A Unser, Michael %A Holden, Seamus %D 2018 %I Cold Spring Harbor Laboratory %J bioRxiv %K 3D psf reconstruction smlm software superresolution %P 362517 %R 10.1101/362517 %T Super-resolution fight club: A broad assessment of 2D & 3D single-molecule localization microscopy software %U https://www.biorxiv.org/content/10.1101/362517v5 %X With the widespread uptake of 2D and 3D single molecule localization microscopy, a large set of different data analysis packages have been developed to generate super-resolution images. To guide researchers on the optimal analytical software for their experiments, we have designed, in a large community effort, a competition to extensively characterise and rank these options. We generated realistic simulated datasets for popular imaging modalities - 2D, astigmatic 3D, biplane 3D, and double helix 3D - and evaluated 36 participant packages against these data. This provides the first broad assessment of 3D single molecule localization microscopy software, provides a holistic view of how the latest 2D and 3D single molecule localization software perform in realistic conditions, and ultimately provides insight into the current limits of the field.

@article{Sage2018, abstract = {With the widespread uptake of 2D and 3D single molecule localization microscopy, a large set of different data analysis packages have been developed to generate super-resolution images. To guide researchers on the optimal analytical software for their experiments, we have designed, in a large community effort, a competition to extensively characterise and rank these options. We generated realistic simulated datasets for popular imaging modalities - 2D, astigmatic 3D, biplane 3D, and double helix 3D - and evaluated 36 participant packages against these data. This provides the first broad assessment of 3D single molecule localization microscopy software, provides a holistic view of how the latest 2D and 3D single molecule localization software perform in realistic conditions, and ultimately provides insight into the current limits of the field.}, added-at = {2020-03-23T21:12:34.000+0100}, author = {Sage, Daniel and Pham, Thanh-An and Babcock, Hazen and Lukes, Tomas and Pengo, Thomas and Chao, Jerry and Velmurugan, Ramraj and Herbert, Alex and Agrawal, Anurag and Colabrese, Silvia and Wheeler, Ann and Archetti, Anna and Rieger, Bernd and Ober, Raimund and Hagen, Guy M. and Sibarita, Jean-Baptiste and Ries, Jonas and Henriques, Ricardo and Unser, Michael and Holden, Seamus}, biburl = {https://www.bibsonomy.org/bibtex/2133367a1d6db7b73201cf7deda5b3833/kfriedl}, doi = {10.1101/362517}, file = {:C$\backslash$:/Users/Karoline/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Sage et al. - 2018 - Super-resolution fight club A broad assessment of 2D {\&}amp 3D single-molecule localization microscopy software.pdf:pdf}, interhash = {1fb4ed71d4877e9e8e9b12790730c9ae}, intrahash = {133367a1d6db7b73201cf7deda5b3833}, journal = {bioRxiv}, keywords = {3D psf reconstruction smlm software superresolution}, month = dec, pages = 362517, publisher = {Cold Spring Harbor Laboratory}, timestamp = {2020-03-23T22:28:28.000+0100}, title = {{Super-resolution fight club: A broad assessment of 2D {\&} 3D single-molecule localization microscopy software}}, url = {https://www.biorxiv.org/content/10.1101/362517v5}, year = 2018 }