Evidence map›Paper›PMID 37833912›Full record

ArticleInternational journal of molecular sciences2023

Foci-Xpress: Automated and Fast Nuclear Foci Counting Tool.

Jae-I Moon, Woo-Jin Kim, Ki-Tae Kim, Hyun-Jung Kim, Hye-Rim Shin, Heein Yoon, Seung Gwa Park, Min-Sang Park, Young-Dan Cho, Pil-Jong Kim and 1 more

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Jae-I MoonDepartment of Molecular Genetics and Dental Pharmacology, School of Dentistry and Dental Research Institute, Dental Multi-Omics Center, Seoul National University, Seoul 08826, Republic of Korea.
Woo-Jin KimDepartment of Molecular Genetics and Dental Pharmacology, School of Dentistry and Dental Research Institute, Dental Multi-Omics Center, Seoul National University, Seoul 08826, Republic of Korea.ORCID 0000-0002-3471-0006
Ki-Tae KimDepartment of Molecular Genetics and Dental Pharmacology, School of Dentistry and Dental Research Institute, Dental Multi-Omics Center, Seoul National University, Seoul 08826, Republic of Korea.
Hyun-Jung KimDepartment of Molecular Genetics and Dental Pharmacology, School of Dentistry and Dental Research Institute, Dental Multi-Omics Center, Seoul National University, Seoul 08826, Republic of Korea.
Hye-Rim ShinDepartment of Molecular Genetics and Dental Pharmacology, School of Dentistry and Dental Research Institute, Dental Multi-Omics Center, Seoul National University, Seoul 08826, Republic of Korea.
Heein YoonDepartment of Molecular Genetics and Dental Pharmacology, School of Dentistry and Dental Research Institute, Dental Multi-Omics Center, Seoul National University, Seoul 08826, Republic of Korea.
Seung Gwa ParkDepartment of Molecular Genetics and Dental Pharmacology, School of Dentistry and Dental Research Institute, Dental Multi-Omics Center, Seoul National University, Seoul 08826, Republic of Korea.
Min-Sang ParkDepartment of Molecular Genetics and Dental Pharmacology, School of Dentistry and Dental Research Institute, Dental Multi-Omics Center, Seoul National University, Seoul 08826, Republic of Korea.
Young-Dan ChoDepartment of Periodontology, School of Dentistry and Dental Research Institute, Seoul National University, Seoul 03080, Republic of Korea.
Pil-Jong KimDepartment of Biomedical Knowledge Engineering Laboratory, School of Dentistry and Dental Research Institute, Seoul National University, Seoul 08826, Republic of Korea.ORCID 0000-0001-8544-7909
Hyun-Mo RyooDepartment of Molecular Genetics and Dental Pharmacology, School of Dentistry and Dental Research Institute, Dental Multi-Omics Center, Seoul National University, Seoul 08826, Republic of Korea.ORCID 0000-0001-6769-8341

Funding

National Research Foundation of Korea 2020R1A4A1019423, 2020R1A2B5B02002658 and RS-2023-00207971
6 · The paper itself

Abstract

In the nucleus, distinct, discrete spots or regions called "foci" have been identified, each harboring a specific molecular function. Accurate and efficient quantification of these foci is essential for understanding cellular dynamics and signaling pathways. In this study, we present an innovative automated image analysis method designed to precisely quantify subcellular foci within the cell nucleus. Manual foci counting methods can be tedious and time-consuming. To address these challenges, we developed an open-source software that automatically counts the number of foci from the indicated image files. We compared the foci counting efficiency, velocity, accuracy, and convenience of Foci-Xpress with those of other conventional methods in foci-induced models. We can adjust the brightness of foci to establish a threshold. The Foci-Xpress method was significantly faster than other conventional methods. Its accuracy was similar to that of conventional methods. The most significant strength of Foci-Xpress is automation, which eliminates the need for analyzing equipment while counting. This enhanced throughput facilitates comprehensive statistical analyses and supports robust conclusions from experiments. Furthermore, automation completely rules out biases caused by researchers, such as manual errors or daily variations. Thus, Foci-Xpress is a convincing, convenient, and easily accessible focus-counting tool for cell biologists.

Indexed as

Image Processing, Computer-AssistedSoftwareAutomationautomated screening methodDNA damagefoci quantitative analysisimage processingnuclear foci

Identifiers

PMID37833912
PMCPMC10572366

What OpenQuestion holds

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LicenceCC BY
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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.