Evidence map›Paper›PMID 37484269›Full record

ArticleHeliyon2023

Comparison of NET quantification methods based on immunofluorescence microscopy: Hand-counting, semi-automated and automated evaluations.

Timo Henneck, Christina Krüger, Andreas Nerlich, Melissa Langer, Leonie Fingerhut, Marta C Bonilla, Marita Meurer, Sönke von den Berg, Nicole de Buhr, Katja Branitzki-Heinemann and 1 more

Abstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Journal of oral microbiology · 2026
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Primary sarcopenia is associated with elevated spontaneous NET formation.Frontiers in cell and developmental biology · 2024
    Article
  15. 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

11 authors.

Timo HenneckInstitute of Biochemistry, University of Veterinary Medicine Hannover, Foundation, 30559, Hannover, Germany.
Christina KrügerInstitute of Biochemistry, University of Veterinary Medicine Hannover, Foundation, 30559, Hannover, Germany.
Andreas NerlichInstitute for Microbiology, University of Veterinary Medicine Hannover, Foundation, 30173, Hannover, Germany.
Melissa LangerInstitute of Biochemistry, University of Veterinary Medicine Hannover, Foundation, 30559, Hannover, Germany.
Leonie FingerhutInstitute of Biochemistry, University of Veterinary Medicine Hannover, Foundation, 30559, Hannover, Germany.
Marta C BonillaInstitute of Biochemistry, University of Veterinary Medicine Hannover, Foundation, 30559, Hannover, Germany.
Marita MeurerInstitute of Biochemistry, University of Veterinary Medicine Hannover, Foundation, 30559, Hannover, Germany.
Sönke von den BergInstitute for Zoology, University of Veterinary Medicine Hannover, Foundation, 30559, Hannover, Germany.
Nicole de BuhrInstitute of Biochemistry, University of Veterinary Medicine Hannover, Foundation, 30559, Hannover, Germany.
Katja Branitzki-HeinemannInstitute of Biochemistry, University of Veterinary Medicine Hannover, Foundation, 30559, Hannover, Germany.
Maren von Köckritz-BlickwedeInstitute of Biochemistry, University of Veterinary Medicine Hannover, Foundation, 30559, Hannover, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Formation of neutrophil extracellular traps was first described in 2004, showing that NETs are composed of decondensed chromatin fibers and nuclear and granule components. Free DNA is often used to quantify NETs, but to differentiate NETosis from necrotic DNA-release, immunofluorescence microscopy with NET-specific markers is required. Although evaluation by hand is time-consuming and difficult to standardize, it is still widespread. Unfortunately, no standardized method and only limited software tools are available for NET evaluation. This study provides an overview of recent techniques in use and aims to compare two published computer-based methods with hand counting. We found that the selected semi-automated quantification method and fully automated quantification via NETQUANT differed significantly from results obtained by hand and exhibited problems in detection of complex NET structures with partially illogical results. In contrast to that, trained persons were able to adapt to varying settings. Future approaches aimed at developing deep-learning algorithms for fast and reproducible quantification of NETs are needed.

Indexed as

Cell countingImageJIn vitroNETQUANTNETsQuantification

Identifiers

PMID37484269
PMCPMC10361044

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.