Evidence map›Paper›PMID 38487686›Full record

ArticleBiological imaging2023

Visualization and quality control tools for large-scale multiplex tissue analysis in TissUUmaps3.

Andrea Behanova, Christophe Avenel, Axel Andersson, Eduard Chelebian, Anna Klemm, Lina Wik, Arne Östman, Carolina Wählby

Abstract read
In one paragraph

Article in Biological imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  5. 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

8 authors.

Andrea BehanovaDepartment of Information Technology and SciLifeLab BioImage Informatics Facility, Uppsala University, Uppsala, Sweden.ORCID https://orcid.org/0000-0001-9207-3837
Christophe AvenelDepartment of Information Technology and SciLifeLab BioImage Informatics Facility, Uppsala University, Uppsala, Sweden.ORCID https://orcid.org/0000-0002-1835-921X
Axel AnderssonDepartment of Information Technology and SciLifeLab BioImage Informatics Facility, Uppsala University, Uppsala, Sweden.
Eduard ChelebianDepartment of Information Technology and SciLifeLab BioImage Informatics Facility, Uppsala University, Uppsala, Sweden.
Anna KlemmDepartment of Information Technology and SciLifeLab BioImage Informatics Facility, Uppsala University, Uppsala, Sweden.
Lina WikDepartment of Oncology-Pathology, Karolinska Institutet, Solna, Sweden.
Arne ÖstmanDepartment of Oncology-Pathology, Karolinska Institutet, Solna, Sweden.
Carolina WählbyDepartment of Information Technology and SciLifeLab BioImage Informatics Facility, Uppsala University, Uppsala, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Large-scale multiplex tissue analysis aims to understand processes such as development and tumor formation by studying the occurrence and interaction of cells in local environments in, for example, tissue samples from patient cohorts. A typical procedure in the analysis is to delineate individual cells, classify them into cell types, and analyze their spatial relationships. All steps come with a number of challenges, and to address them and identify the bottlenecks of the analysis, it is necessary to include quality control tools in the analysis workflow. This makes it possible to optimize the steps and adjust settings in order to get better and more precise results. Additionally, the development of automated approaches for tissue analysis requires visual verification to reduce skepticism with regard to the accuracy of the results. Quality control tools could be used to build users' trust in automated approaches. In this paper, we present three plugins for visualization and quality control in large-scale multiplex tissue analysis of microscopy images. The first plugin focuses on the quality of cell staining, the second one was made for interactive evaluation and comparison of different cell classification results, and the third one serves for reviewing interactions of different cell types.

Indexed as

Cell classificationquality controlspatial omicsvisualization

Identifiers

PMID38487686
PMCPMC10936381

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Registered trials

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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.