A call for bioimaging software usability
By Anne E Carpenter, L. Kamentsky, Kevin W. Eliceiri. 2012
131 citations recorded by the source corpus.
Bioimaging software developed in a research setting often is not widely used by the scientific community. We suggest that, to maximize both the public's and researchers' investments, usability should be a more highly valued goal. We describe specific characteristics of usability toward which bioimaging software projects should aim.
Subfields: Biophysics, Information Systems and Management, Molecular Biology, Human-Computer Interaction, Computational Biology & Bioinformatics
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biophysics
- Shantanu Singh
- Anne E Carpenter
- Kevin W. Eliceiri
- Curtis T. Rueden
- Juan C. Caicedo
- Fuyong Xing
- Lin F. Yang
- Johannes E. Schindelin
In Molecular Biology
- Anne E Carpenter
- Shantanu Singh
- Lin F. Yang
- Fuyong Xing
- Hanchuan Peng
- Juan C. Caicedo
- Kevin W. Eliceiri
- Curtis T. Rueden
In Human-Computer Interaction
In Computational Biology & Bioinformatics
- Shantanu Singh
- Kevin W. Eliceiri
- Lin F. Yang
- Juan C. Caicedo
- Anne E Carpenter
- Fuyong Xing
- Pavel Tomancak
- Johannes E. Schindelin
Citations in the corpus
- TrackMate: An open and extensible platform for single-particle tracking. (2017, methodology): “First, it focuses on usability by providing Life-Science researchers with a turnkey user-friendly tracking solution, fulfilling the recommendations of [15].”
- Data-analysis strategies for image-based cell profiling (2017, methodology): “For software with only a graphical user interface, a detailed walkthrough of each step of the workflow can be provided; however, this option is suboptimal.”
- Robust Nucleus/Cell Detection and Segmentation in Digital Pathology and Microscopy Images: A Comprehensive Review (2016, background): “More information about popular biomedical imaging software tools can be found in [324]–[326].”
- Biological Imaging Software Tools (2012, background): “Usability has often lagged behind, but there is increasing recognition of its value to biomedical research 54 .”
- ImageJ2: ImageJ for the next generation of scientific image data (2017, background): “process which we believe is an optimal fit for open scientific inquiry [24].”