ArticleJournal of open source software2020
Minerva: a light-weight, narrative image browser for multiplexed tissue images.
Article in Journal of open source software, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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
21 citing papers in PubMed.
- Clinical responses to trastuzumab deruxtecan in molecularly defined ependymoma.NPJ precision oncology · 2026Article
- Digital pathology imaging artificial intelligence in cancer research and clinical trials: An NCI workshop report.Journal of pathology informatics · 2026Review
- Article
- Highly multiplexed 3D profiling of cell states and immune niches in human tumors.Nature methods · 2025Article
- Spatial multiomics of acute myocardial infarction reveals immune cell infiltration through the endocardium.Nature cardiovascular research · 2025Article
- FUSION: a web-based application for in-depth exploration of multi-omics data with brightfield histology.Nature communications · 2025Article
- Spatial determinants of tumor cell dedifferentiation and plasticity in primary cutaneous melanoma.bioRxiv : the preprint server for biology · 2025Article
- Multimodal spatial proteomic profiling in acute myeloid leukemia.NPJ precision oncology · 2025Article
- Sharing data from the Human Tumor Atlas Network through standards, infrastructure and community engagement.Nature methods · 2025Review
- Spatial analysis by current multiplexed imaging technologies for the molecular characterisation of cancer tissues.British journal of cancer · 2024Review
- A perspective on FAIR quality control in multiplexed imaging data processing.Frontiers in bioinformatics · 2024Article
- Lymphocyte networks are dynamic cellular communities in the immunoregulatory landscape of lung adenocarcinoma.Cancer cell · 2023Article
- Interoperable slide microscopy viewer and annotation tool for imaging data science and computational pathology.Nature communications · 2023Article
- Article
- Visinity: Visual Spatial Neighborhood Analysis for Multiplexed Tissue Imaging Data.IEEE transactions on visualization and computer graphics · 2023Article
- Spatial omics technologies at multimodal and single cell/subcellular level.Genome biology · 2022Review
- Mistic: An open-source multiplexed image t-SNE viewer.Patterns (New York, N.Y.) · 2022Article
- Narrative online guides for the interpretation of digital-pathology images and tissue-atlas data.Nature biomedical engineering · 2022Review
- Temporal and spatial topography of cell proliferation in cancer.Nature cell biology · 2022Article
- Scope2Screen: Focus+Context Techniques for Pathology Tumor Assessment in Multivariate Image Data.IEEE transactions on visualization and computer graphics · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Advances in highly multiplexed tissue imaging are transforming our understanding of human biology by enabling detection and localization of 10-100 proteins at subcellular resolution (Bodenmiller, 2016). Efforts are now underway to create public atlases of multiplexed images of normal and diseased tissues (Rozenblatt-Rosen et al., 2020). Both research and clinical applications of tissue imaging benefit from recording data from complete specimens so that data on cell state and composition can be studied in the context of overall tissue architecture. As a practical matter, specimen size is limited by the dimensions of microscopy slides (2.5 × 7.5 cm or ~2-8 cm
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.