Curtis Rueden
Publications by Year
Research Areas
Cell Image Analysis Techniques, Genetics, Bioinformatics, and Biomedical Research, Advanced Fluorescence Microscopy Techniques, Single-cell and spatial transcriptomics, Scientific Computing and Data Management
Most-Cited Works
- → Fiji: an open-source platform for biological-image analysis(2012)68,831 cited
- → ImageJ2: ImageJ for the next generation of scientific image data(2017)6,134 cited
- → The ImageJ ecosystem: An open platform for biomedical image analysis(2015)2,678 cited
- → Trainable Weka Segmentation: a machine learning tool for microscopy pixel classification(2017)2,407 cited
- → Collagen density promotes mammary tumor initiation and progression(2008)1,374 cited
- → Metadata matters: access to image data in the real world(2010)1,087 cited
- → Improved structure, function and compatibility for CellProfiler: modular high-throughput image analysis software(2011)1,040 cited
- → The ImageJ ecosystem: Open‐source software for image visualization, processing, and analysis(2020)345 cited
- → Quantitating the cell: turning images into numbers with ImageJ(2016)165 cited
- → Assessing microscope image focus quality with deep learning(2018)157 cited