Evidence map›Paper›PMID 41888155›Full record

ArticleScientific reports2026

Highly sensitive positron imaging reveals short-term food distribution patterns in ant groups.

Nobuo Suzui, Mitsutaka Yamaguchi, Seiji Higashino, Yong-Gen Yin, Yuta Miyoshi, Ryuichi Suwa, Kazuki Tsuji, Naoki Kawachi

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Nobuo Suzui *Takasaki Institute for Advanced Quantum Science, National Institutes for Quantum Science and Technology (QST), Takasaki, Japan. suzui.nobuo@qst.go.jp.
Mitsutaka Yamaguchi *Takasaki Institute for Advanced Quantum Science, National Institutes for Quantum Science and Technology (QST), Takasaki, Japan. yamaguchi.mitsutaka@qst.go.jp.
Seiji HigashinoThe United Graduate School of Agricultural Sciences, Kagoshima University, Kagoshima, Japan.
Yong-Gen YinTakasaki Institute for Advanced Quantum Science, National Institutes for Quantum Science and Technology (QST), Takasaki, Japan.
Yuta MiyoshiTakasaki Institute for Advanced Quantum Science, National Institutes for Quantum Science and Technology (QST), Takasaki, Japan.
Ryuichi SuwaThe United Graduate School of Agricultural Sciences, Kagoshima University, Kagoshima, Japan.
Kazuki TsujiThe United Graduate School of Agricultural Sciences, Kagoshima University, Kagoshima, Japan.
Naoki KawachiTakasaki Institute for Advanced Quantum Science, National Institutes for Quantum Science and Technology (QST), Takasaki, Japan.

Funding

Environment Research and Technology Development 4G-2301Japan Society for the Promotion of Science JP20H04465Japan Society for the Promotion of Science JP22H02702
6 · The paper itself

Abstract

Studying food distribution in ant groups is essential for investigating social behavior, offering valuable insights into resource allocation, group dynamics, and environmental adaptation, thereby advancing ecological research. In this work, a highly sensitive and quantitative experimental tool was developed to visualize changes over time in food distribution within ant groups using positron-emitting radionuclides and a radiation imaging system. Food distribution observations within a 100-ant group allowed changes in an index of dispersion for food allocation to be quantified for 3 h. The method's accuracy was confirmed by cross-checking with the results of a conventional quantification method using a gamma counter. Additionally, we successfully visualized food distribution in a 12-ant group and quantified the amount of food exchanged over a 30-min period. This method can be used to elucidate the mechanisms that control food distribution.

Indexed as

AntsFeeding BehaviorPositron-Emission TomographyAnimalsFoodSocial Behavior

Identifiers

PMID41888155
PMCPMC13022372

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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.