Evidence map›Paper›PMID 36936977›Full record

ArticleFrontiers in immunology2023

YOUPI: Your powerful and intelligent tool for segmenting cells from imaging mass cytometry data.

Yvonne Scuiller, Patrice Hemon, Marion Le Rochais, Jacques-Olivier Pers, Christophe Jamin, Nathan Foulquier

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Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

6 authors.

Yvonne ScuillerLBAI, UMR 1227, Univ Brest, Inserm, Brest, France.
Patrice HemonLBAI, UMR 1227, Univ Brest, Inserm, Brest, France.
Marion Le RochaisLBAI, UMR 1227, Univ Brest, Inserm, Brest, France.
Jacques-Olivier PersLBAI, UMR 1227, Univ Brest, Inserm, Brest, France.
Christophe JaminLBAI, UMR 1227, Univ Brest, Inserm, Brest, France.
Nathan FoulquierLBAI, UMR 1227, Univ Brest, Inserm, Brest, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recent emergence of imaging mass cytometry technology has led to the generation of an increasing amount of high-dimensional data and, with it, the need for suitable performant bioinformatics tools dedicated to specific multiparametric studies. The first and most important step in treating the acquired images is the ability to perform highly efficient cell segmentation for subsequent analyses. In this context, we developed YOUPI (Your Powerful and Intelligent tool) software. It combines advanced segmentation techniques based on deep learning algorithms with a friendly graphical user interface for non-bioinformatics users. In this article, we present the segmentation algorithm developed for YOUPI. We have set a benchmark with mathematics-based segmentation approaches to estimate its robustness in segmenting different tissue biopsies.

Indexed as

AlgorithmsSoftwareImage Cytometrycell segmentationimagesimaging mass cytometrynew algorithmU-NET

Identifiers

PMID36936977
PMCPMC10019895

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read19
Read underepoch 390

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.