ArticleMethods (San Diego, Calif.)2016
Metadata management for high content screening in OMERO.
Article in Methods (San Diego, Calif.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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
22 citing papers in PubMed.
- Microtubule stiffening by the doublecortin-domain protein ZYG-8 contributes to mitotic spindle orientation during zygote division in Caenorhabditis elegans.PLoS genetics · 2026Article
- High-content screening (HCS) workflows for FAIR image data management with OMERO.Scientific reports · 2025Article
- Bridging imaging-based in vitro methods from biomedical research to regulatory toxicology.Archives of toxicology · 2025Review
- Making the most of bioimaging data through interdisciplinary interactions.Journal of cell science · 2024Review
- Unveiling inter-embryo variability in spindle length over time: Towards quantitative phenotype analysis.PLoS computational biology · 2024Article
- Big data in contemporary electron microscopy: challenges and opportunities in data transfer, compute and management.Histochemistry and cell biology · 2023Review
- Visinity: Visual Spatial Neighborhood Analysis for Multiplexed Tissue Imaging Data.IEEE transactions on visualization and computer graphics · 2023Article
- Stitching and registering highly multiplexed whole-slide images of tissues and tumors using ASHLAR.Bioinformatics (Oxford, England) · 2022Article
- PScL-DDCFPred: an ensemble deep learning-based approach for characterizing multiclass subcellular localization of human proteins from bioimage data.Bioinformatics (Oxford, England) · 2022Article
- The Role of Pathology-Based Methods in Qualitative and Quantitative Approaches to Cancer Immunotherapy.Cancers · 2022Review
- MITI minimum information guidelines for highly multiplexed tissue images.Nature methods · 2022Article
- Paving the Way: Contributions of Big Data to Apicomplexan and Kinetoplastid Research.Frontiers in cellular and infection microbiology · 2022Review
- Research data management for bioimaging: the 2021 NFDI4BIOIMAGE community survey.F1000Research · 2022Article
- MDEmic: a metadata annotation tool to facilitate management of FAIR image data in the bioimaging community.Nature methods · 2021Article
- PScL-HDeep: image-based prediction of protein subcellular location in human tissue using ensemble learning of handcrafted and deep learned features with two-layer feature selection.Briefings in bioinformatics · 2021Article
- The coordination of spindle-positioning forces during the asymmetric division of the Caenorhabditis elegans zygote.EMBO reports · 2021Article
- Biomedical Image Processing with Containers and Deep Learning: An Automated Analysis Pipeline: Data architecture, artificial intelligence, automated processing, containerization, and clusters orchestration ease the transition from data acquisition to insights in medium-to-large datasets.BioEssays : news and reviews in molecular, cellular and developmental biology · 2019Article
- Bringing Open Data to Whole Slide Imaging.Digital Pathology : 15th European congress, ECDP 2019, Warwick, UK, April 10-13, 2019 : proceedings. European Congress on Digital Pathology (15th : 2019 : Warwick, England) · 2019Article
- Super-Resolution Single Molecule FISH at the Drosophila Neuromuscular Junction.Methods in molecular biology (Clifton, N.J.) · 2018Article
- The Image Data Resource: A Bioimage Data Integration and Publication Platform.Nature methods · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
21 authors.
Funding
Abstract
High content screening (HCS) experiments create a classic data management challenge-multiple, large sets of heterogeneous structured and unstructured data, that must be integrated and linked to produce a set of "final" results. These different data include images, reagents, protocols, analytic output, and phenotypes, all of which must be stored, linked and made accessible for users, scientists, collaborators and where appropriate the wider community. The OME Consortium has built several open source tools for managing, linking and sharing these different types of data. The OME Data Model is a metadata specification that supports the image data and metadata recorded in HCS experiments. Bio-Formats is a Java library that reads recorded image data and metadata and includes support for several HCS screening systems. OMERO is an enterprise data management application that integrates image data, experimental and analytic metadata and makes them accessible for visualization, mining, sharing and downstream analysis. We discuss how Bio-Formats and OMERO handle these different data types, and how they can be used to integrate, link and share HCS experiments in facilities and public data repositories. OME specifications and software are open source and are available at https://www.openmicroscopy.org.
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.