ArticleNature methods2012
A call for bioimaging software usability.
Article in Nature methods, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
63 citing papers in PubMed.
- FishFeats: streamlined quantification of multimodal labeling at the single-cell level in 3D tissues.Bioinformatics (Oxford, England) · 2026Article
- Using user-centered design to better understand challenges faced during genetic analyses by novice genomic researchers.Frontiers in bioinformatics · 2026Article
- Article
- Yes-associated protein plays oncogenic roles in human sporadic colorectal adenomas.Carcinogenesis · 2025Article
- Bringing computation to biology by bridging the last mile.Nature cell biology · 2024Article
- Bioimage informatics: Investing in software usability is essential.PLoS biology · 2023Article
- Predicting peritoneal recurrence in gastric cancer with serosal invasion using a pathomics nomogram.iScience · 2023Article
- Synaptonemal & CO analyzer: A tool for synaptonemal complex and crossover analysis in immunofluorescence images.Frontiers in cell and developmental biology · 2023Article
- Better research software tools to elevate the rate of scientific discovery or why we need to invest in research software engineering.Frontiers in bioinformatics · 2023Article
- Article
- Reinforcing Interdisciplinary Collaborations to Unravel the Astrocyte "Calcium Code".Journal of molecular neuroscience : MN · 2022Review
- Developing image analysis methods for digital pathology.The Journal of pathology · 2022Review
- Automatic Multi-functional Integration Program (AMFIP) towards all-optical mechano-electrophysiology interrogation.PloS one · 2022Article
- Large-scale field phenotyping using backpack LiDAR and CropQuant-3D to measure structural variation in wheat.Plant physiology · 2021Article
- Deep learning for bioimage analysis in developmental biology.Development (Cambridge, England) · 2021Review
- ImageJ and CellProfiler: Complements in Open-Source Bioimage Analysis.Current protocols · 2021Article
- Harnessing non-destructive 3D pathology.Nature biomedical engineering · 2021Review
- Bioimage Analysis and Cell Motility.Patterns (New York, N.Y.) · 2021Review
- Developing open-source software for bioimage analysis: opportunities and challenges.F1000Research · 2021Article
- Keras R-CNN: library for cell detection in biological images using deep neural networks.BMC bioinformatics · 2020Article
3 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.