ReviewNature methods2010
Visualization of image data from cells to organisms.
Review in Nature methods, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 111 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
111 citing papers in PubMed.
- A multicellular analysis calcium imaging toolbox for ImageJ.Cell reports methods · 2026Article
- Aardvark: Composite Visualizations of Trees, Time-Series, and Images.IEEE transactions on visualization and computer graphics · 2025Article
- Cross-sectional and skeletal anatomy of long-tailed gorals (Journal of veterinary science · 2023Article
- Functional biomaterials for biomimetic 3D in vitro tumor microenvironment modeling.In vitro models · 2023Review
- Article
- HeartCV: a tool for transferrable, automated measurement of heart rate and heart rate variability in transparent animals.The Journal of experimental biology · 2022Article
- Anatomy and the type concept in biology show that ontologies must be adapted to the diagnostic needs of research.Journal of biomedical semantics · 2022Article
- DICOMization of Proprietary Files Obtained from Confocal, Whole-Slide, and FIB-SEM Microscope Scanners.Sensors (Basel, Switzerland) · 2022Article
- IMAGE-IN: Interactive web-based multidimensional 3D visualizer for multi-modal microscopy images.PloS one · 2022Article
- ShapoGraphy: A User-Friendly Web Application for Creating Bespoke and Intuitive Visualisation of Biomedical Data.Frontiers in bioinformatics · 2022Article
- Application of Advanced Imaging Modalities in Veterinary Medicine: A Review.Veterinary medicine (Auckland, N.Z.) · 2022Review
- Recent Advances in Sugarcane Genomics, Physiology, and Phenomics for Superior Agronomic Traits.Frontiers in genetics · 2022Review
- Cross-Modality Imaging of Murine Tumor Vasculature-a Feasibility Study.Molecular imaging and biology · 2021Article
- Review: Application of Artificial Intelligence in Phenomics.Sensors (Basel, Switzerland) · 2021Review
- Underwater photogrammetry for close-range 3D imaging of dry-sensitive objects: The case study of cephalopod beaks.Ecology and evolution · 2021Article
- Holistic description of new deep sea megafauna (Cephalopoda: Cirrata) using a minimally invasive approach.BMC biology · 2021Article
- Review
- Bioimage Analysis and Cell Motility.Patterns (New York, N.Y.) · 2021Review
- Grand Challenges in Bioinformatics Data Visualization.Frontiers in bioinformatics · 2021Article
- Article
51 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
14 authors.
Funding
Abstract
Advances in imaging techniques and high-throughput technologies are providing scientists with unprecedented possibilities to visualize internal structures of cells, organs and organisms and to collect systematic image data characterizing genes and proteins on a large scale. To make the best use of these increasingly complex and large image data resources, the scientific community must be provided with methods to query, analyze and crosslink these resources to give an intuitive visual representation of the data. This review gives an overview of existing methods and tools for this purpose and highlights some of their limitations and challenges.
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.