Evidence map›Paper›PMID 26589438›Full record

ArticleBMC bioinformatics2015

FoCo: a simple and robust quantification algorithm of nuclear foci.

Anastasiya Lapytsko, Gabriel Kollarovic, Lyubomira Ivanova, Maja Studencka, Jörg Schaber

Abstract read
In one paragraph

Article in BMC bioinformatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
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  3. Effect of FLASH proton therapy on primary bronchial epithelial cell organoids.Clinical and translational radiation oncology · 2025
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  6. Clinical and translational radiation oncology · 2024
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  11. Foci-Xpress: Automated and Fast Nuclear Foci Counting Tool.International journal of molecular sciences · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
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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

5 authors.

Anastasiya LapytskoMedical Faculty, Institute for Experimental Internal Medicine, Otto von Guericke University, Pfälzer Platz 2, 39106, Magdeburg, Germany. anastasiya.lapytsko@med.ovgu.de.
Gabriel KollarovicMedical Faculty, Institute for Experimental Internal Medicine, Otto von Guericke University, Pfälzer Platz 2, 39106, Magdeburg, Germany. kollarovic.gabor@gmail.com.
Lyubomira IvanovaMedical Faculty, Institute for Experimental Internal Medicine, Otto von Guericke University, Pfälzer Platz 2, 39106, Magdeburg, Germany. lu.ivanova@googlemail.com.
Maja StudenckaMedical Faculty, Institute for Experimental Internal Medicine, Otto von Guericke University, Pfälzer Platz 2, 39106, Magdeburg, Germany. maja.studencka@med.ovgu.de.
Jörg SchaberMedical Faculty, Institute for Experimental Internal Medicine, Otto von Guericke University, Pfälzer Platz 2, 39106, Magdeburg, Germany. schaber@med.ovgu.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe number of γH2AX foci per nucleus is an accepted measure of the number of DNA double-strand breaks in single cells. One of the experimental techniques for γH2AX detection in cultured cells is immunofluorescent labelling of γH2AX and nuclei followed by microscopy imaging and analysis.

resultsIn this study, we present the algorithm FoCo for reliable and robust automatic nuclear foci counting in single cell images. FoCo has the following advantages with respect to other software packages: i) the ability to reliably quantify even densely distributed foci, e.g., on images of cells subjected to radiation doses up to 10 Gy, ii) robustness of foci quantification in the sense of suppressing out-of-focus background signal, and iii) its simplicity. FoCo requires only 5 parameters that have to be adjusted by the user.

conclusionsFoCo is an open-source user-friendly software with GUI for individual foci counting, which is able to produce reliable and robust foci quantifications even for low signal/noise ratios and densely distributed foci.

Indexed as

DNA Breaks, Double-StrandedCell NucleusMicroscopy, FluorescenceSingle-Cell Analysis

Identifiers

PMID26589438
PMCPMC4654864

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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.