%0 Journal Article %1 VanDeLinde2019 %A Van De Linde, Sebastian %D 2019 %I IOP Publishing %J Journal of Physics D: Applied Physics %K fiji imagej imaging microscopy no_pdf quantitative smlm software superresolution %N 20 %R 10.1088/1361-6463/ab092f %T Single-molecule localization microscopy analysis with ImageJ %V 51 %X ImageJ is a versatile and powerful tool for quantitative image analysis in microscopy. It is open-source software, platform-independent and enables students and researchers to obtain an easy but thorough introduction into image analysis. Especially the image processing package Fiji is a valuable and powerful extension of ImageJ. Several plugins and macros for single-molecule localization microscopy (SMLM) have been developed during the last decade. These novel tools cover the steps from single-molecule localization and image reconstruction to SMLM data postprocessing such as density analysis, image registration or resolution estimation. This article describes how ImageJ/Fiji can be used for image analysis, reviews existing extensions for SMLM, and aims at introducing and motivating novices and advanced SMLM users alike to explore the possibilities of ImageJ/Fiji for automated and quantitative data analysis.

@article{VanDeLinde2019, abstract = {ImageJ is a versatile and powerful tool for quantitative image analysis in microscopy. It is open-source software, platform-independent and enables students and researchers to obtain an easy but thorough introduction into image analysis. Especially the image processing package Fiji is a valuable and powerful extension of ImageJ. Several plugins and macros for single-molecule localization microscopy (SMLM) have been developed during the last decade. These novel tools cover the steps from single-molecule localization and image reconstruction to SMLM data postprocessing such as density analysis, image registration or resolution estimation. This article describes how ImageJ/Fiji can be used for image analysis, reviews existing extensions for SMLM, and aims at introducing and motivating novices and advanced SMLM users alike to explore the possibilities of ImageJ/Fiji for automated and quantitative data analysis.}, added-at = {2020-03-23T21:12:34.000+0100}, author = {{Van De Linde}, Sebastian}, biburl = {https://www.bibsonomy.org/bibtex/293a5e95a91cfe6e86c2bf9164a0b119b/kfriedl}, doi = {10.1088/1361-6463/ab092f}, interhash = {57c65a5b1968f3dbb875279fa9489cc4}, intrahash = {93a5e95a91cfe6e86c2bf9164a0b119b}, issn = {13616463}, journal = {Journal of Physics D: Applied Physics}, keywords = {fiji imagej imaging microscopy no_pdf quantitative smlm software superresolution}, number = 20, publisher = {IOP Publishing}, timestamp = {2020-04-07T10:17:18.000+0200}, title = {{Single-molecule localization microscopy analysis with ImageJ}}, volume = 51, year = 2019 }