ArticleGigaByte (Hong Kong, China)2026
Graphical and interactive spatial proteomics image analysis workflow.
Article in GigaByte (Hong Kong, China), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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
3 citing papers in PubMed.
- STAR Suite: Integrating transcriptomics through AI software engineering in the NIH MorPhiC consortium.bioRxiv : the preprint server for biology · 2026Article
- Graphical and interactive spatial proteomics image analysis workflow.GigaByte (Hong Kong, China) · 2026Article
- Single-cell RNA sequencing data processing using cloud-based serverless computing.GigaByte (Hong Kong, China) · 2026Article
Corrections and comments
- Update of
Authors and funding
7 authors.
Funding
Abstract
Spatial proteomics provides a spatially resolved view of protein expression and localization within cells and tissues by mapping the location and abundance of proteins. There is a need for fully-integrated end-to-end imaging workflows for spatial proteomic analysis that are flexible, reproducible, and support graphical and interactive visualizations. We present a modular and interactive spatial proteomic image analysis workflow with individual containerized steps that empowers biomedical researchers to reproducibly execute and customize complex analyses. Our workflow consists of cell segmentation, unsupervised clustering with optional batch correction, validation of clusters on the image, and cell type clustering results visualization. A form-based graphical interface can be utilized to execute and customize multi-step workflows with a single click or interactively adjust image processing steps within the workflow, apply workflows to various datasets, and modify input parameters as needed. We illustrated the functionality of our workflow using human normal tonsil and colorectal cancer tissues stained by high-plex immunohistochemistry.
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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.