Evidence map›Paper›PMID 42623020›Full record

ArticleCurrent protocols2026

Semi-Automated Analysis of Lymph Node Immune and Fibroblast Architecture From Immunofluorescent Images.

Kassandra Vezyrgianni, Stephen Rothery, Alice E Denton

Abstract read
In one paragraph

Article in Current protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Kassandra VezyrgianniDepartment of Immunology and Inflammation, Imperial College London, London, United Kingdom.
Stephen RotheryFacility for Imaging by Light Microscopy (FILM), Imperial College London, London, United Kingdom.
Alice E DentonDepartment of Immunology and Inflammation, Imperial College London, London, United Kingdom.

Funding

UKRI MRC Career Development Award MR/V009591/1
6 · The paper itself

Abstract

Tissues are highly ordered structures, with cellular localization essential to the optimal function of the tissue. In lymph nodes the spatial arrangement of immune cells and their associated with stromal cell architecture is essential for the generation of optimal immune responses. Circumstances such as aging and chronic disease can alter lymph node architecture in a manner that impacts immune function. Immunologists have developed many tools for analyzing the cellular content of lymphoid tissue, with flow cytometry a central workhorse in the field. While flow cytometry is a powerful high-throughput tool for analyzing multiple cell types in a tissue, it cannot assess where those cells are located. Imaging, on the other hand, is relatively low throughput, with objective image analysis often presenting a significant hurdle for many immunologists. Here we describe two analysis tools built in Fiji (ImageJ) that semi-automate the analysis of lymph node spatial architecture, can be adapted to different antibody staining panels, and are straightforward to implement with little computational experience. © 2026 The Author(s). Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Quantifying changes in lymph node regional architecture Alternate Protocol: Adapting KVA1 for use on spleen tissue sections Basic Protocol 2: Measuring follicular dendritic cell network area within individual B cell follicles.

Indexed as

FibroblastsFluorescent Antibody TechniqueImage Processing, Computer-AssistedLymph NodesAnimalsMiceaging immunologyFiji Macrosimage analysisimmunofluorescencelymph node

Identifiers

PMID42623020
PMCPMC13492504

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.