Evidence map›Paper›PMID 40289087›Full record

ArticleBMC biology2025

Camelot: a computer-automated micro-extensometer with low-cost optical tracking.

Nicola Trozzi, Wiktoria Wodniok, Robert Kelly-Bellow, Andrea Meraviglia, Aurore Chételat, Nova Adkins, Brendan Lane, Richard S Smith, Dorota Kwiatkowska, Mateusz Majda

Abstract read
In one paragraph

Article in BMC biology, 2025. 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. The mechanical properties ofScience advances · 2026
    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

10 authors.

Nicola Trozzi *Department of Computational and Systems Biology, John Innes Centre, Norwich, NR4 7UH, UK.
Wiktoria Wodniok *Institute of Biology, Biotechnology and Environmental Protection, Faculty of Natural Sciences, University of Silesia, Katowice, 40-032, Poland.
Robert Kelly-Bellow *Department of Computational and Systems Biology, John Innes Centre, Norwich, NR4 7UH, UK.
Andrea MeravigliaDepartment of Plant Molecular Biology, University of Lausanne, Lausanne, CH-1015, Switzerland.
Aurore ChételatDepartment of Plant Molecular Biology, University of Lausanne, Lausanne, CH-1015, Switzerland.
Nova AdkinsDepartment of Computational and Systems Biology, John Innes Centre, Norwich, NR4 7UH, UK.
Brendan LaneDepartment of Computational and Systems Biology, John Innes Centre, Norwich, NR4 7UH, UK.
Richard S SmithDepartment of Computational and Systems Biology, John Innes Centre, Norwich, NR4 7UH, UK. Richard.Smith@jic.ac.uk.
Dorota KwiatkowskaInstitute of Biology, Biotechnology and Environmental Protection, Faculty of Natural Sciences, University of Silesia, Katowice, 40-032, Poland. dorota.kwiatkowska@us.edu.pl.
Mateusz MajdaDepartment of Plant Molecular Biology, University of Lausanne, Lausanne, CH-1015, Switzerland. Mateusz.Majda@unil.ch.

Funding

Biotechnology and Biological Sciences Research Council BB/X01102X/1Human Frontier Science Program RGP0067/2021Narodowym Centrum Nauki 2022/47/B/NZ3/01972
6 · The paper itself

Abstract

backgroundPlant growth and morphogenesis is a mechanical process controlled by genetic and molecular networks. Measuring mechanical properties at various scales is necessary to understand how these processes interact. However, obtaining a device to perform the measurements on plant samples of choice poses technical challenges and is often limited by high cost and availability of specialized components, the adequacy of which needs to be verified. Developing software to control and integrate the different pieces of equipment can be a complex task.

resultsTo overcome these challenges, we have developed a computer automated micro-extensometer combined with low-cost optical tracking (Camelot) that facilitates measurements of elasticity, creep, and yield stress. It consists of three primary components: a force sensor with a sample attachment point, an actuator with a second attachment point, and a camera. To monitor force, we use a parallel beam sensor, commonly used in digital weighing scales. To stretch the sample, we use a stepper motor with a screw mechanism moving a stage along linear rail. To monitor sample deformation, a compact digital microscope or a microscope camera is used. The system is controlled by MorphoRobotX, an integrated open-source software environment for mechanical experimentation. We first tested the basic Camelot setup, equipped with a digital microscope to track landmarks on the sample surface. We demonstrate that the system has sufficient accuracy to measure the stiffness in delicate plant samples, the etiolated hypocotyls of Arabidopsis, and were able to measure stiffness differences between wild type and a xyloglucan-deficient mutant. Next, we placed Camelot on an inverted microscope and used a C-mount microscope camera to track displacement of cell junctions. We stretched onion epidermal peels in longitudinal and transverse directions and obtained results similar to those previously published. Finally, we used the setup coupled with an upright confocal microscope and measured anisotropic deformation of individual epidermal cells during stretching of an Arabidopsis leaf.

conclusionsThe portability and suitability of Camelot for high-resolution optical tracking under a microscope make it an ideal tool for researchers in resource-limited settings or those pursuing exploratory biomechanics work.

Indexed as

ArabidopsisBiomechanical PhenomenaElasticitySoftwareArabidopsisCell wall mechanicsCreepElasticityMicro-extensometerMorphoRobotXOptical trackingPlant biomechanicsTissue stiffnessYield stress

Identifiers

PMID40289087
PMCPMC12036183

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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.