Evidence map›Paper›PMID 42001424›Full record

ArticleSTAR protocols2026

Computational protocol for quantifying body-bending amplitude and period in Caenorhabditis elegans.

Ruixia Shi, Yinghao Sun, Jun Xiao, Zengru Di, He Liu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in STAR protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Ruixia ShiDepartment of Systems Science, Faculty of Arts and Sciences, Beijing Normal University, Zhuhai, Guangdong 519087, China; International Academic Center of Complex Systems, Beijing Normal University, Zhuhai, Guangdong 519085, China. Electronic address: ruixiashi@mail.bnu.edu.cn.
Yinghao SunDepartment of Systems Science, Faculty of Arts and Sciences, Beijing Normal University, Zhuhai, Guangdong 519087, China; International Academic Center of Complex Systems, Beijing Normal University, Zhuhai, Guangdong 519085, China.
Jun XiaoLaboratory Safety and Equipment Management Office, Beijing Normal University, Zhuhai, Guangdong, China.
Zengru DiDepartment of Systems Science, Faculty of Arts and Sciences, Beijing Normal University, Zhuhai, Guangdong 519087, China; International Academic Center of Complex Systems, Beijing Normal University, Zhuhai, Guangdong 519085, China.
He LiuDepartment of Systems Science, Faculty of Arts and Sciences, Beijing Normal University, Zhuhai, Guangdong 519087, China; International Academic Center of Complex Systems, Beijing Normal University, Zhuhai, Guangdong 519085, China. Electronic address: heliu@bnu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The amplitude and period of body bending during locomotion are key quantitative parameters that describe the locomotion of Caenorhabditis elegans. Here, we present a computational workflow for calculating these parameters from centroid trajectory data using a custom Python function. We describe steps for integrating trajectory smoothing, signal transformation, and peak detection to extract robust amplitude and period estimates. We include representative figures of raw and processed trajectories to illustrate each analytical step.

Indexed as

Caenorhabditis elegansComputational BiologyImage Processing, Computer-AssistedLocomotionAnimalsBehaviorBioinformaticsComputer sciences

Identifiers

PMID42001424
PMCPMC13098424

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.