Evidence map›Paper›PMID 42363822›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Integrated Opto-Biomechatronics For Single Muscle Fibre Structure-Function Assessment: The MyoRobot 3.0.

Michael Haug, Moritz Hellmann, Larysa Kovbasyuk, Maria Eleni Vazakidou, Milena Theis, Oliver Friedrich

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

6 authors.

Michael HaugInstitute of Medical Biotechnology, Department of Chemical and Biological Engineering, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Bavaria, Germany.
Moritz HellmannInstitute of Medical Biotechnology, Department of Chemical and Biological Engineering, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Bavaria, Germany.
Larysa KovbasyukInstitute of Medical Biotechnology, Department of Chemical and Biological Engineering, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Bavaria, Germany.
Maria Eleni VazakidouInstitute of Medical Biotechnology, Department of Chemical and Biological Engineering, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Bavaria, Germany.
Milena TheisInstitute of Medical Biotechnology, Department of Chemical and Biological Engineering, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Bavaria, Germany.
Oliver FriedrichInstitute of Medical Biotechnology, Department of Chemical and Biological Engineering, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Bavaria, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate assessment of biomechanical properties in single muscle fibres requires integrated structural and functional analysis. Conventional approaches assume constant fibre geometry during passive stretch and often use continuous stress-strain and stepwise stretch-jump protocols interchangeably, despite their differing mechanical implications. We introduce the MyoRobot 3.0, a next-generation biomechatronics platform that integrates automated force measurements with fibre-wide optical imaging. By synchronising a motorized optical system with controlled stretch velocities, the device maintains a constant field of view during elongation, enabling continuous diameter tracking along the same fibre segment. Using this approach, we quantified diameter thinning during axial stretch and compared slow continuous stress-strain recordings with rapid stepwise stretch-jumps under varying calcium conditions and with or without cross-bridge inhibition. Fibre diameter decreased by

Indexed as

Muscle Fibers, SkeletalAnimalsBiomechanical PhenomenaMuscle ContractionStress, Mechanicalcalcium‐dependent elasticitydiameter trackingfibre‐wide imagingmuscle biomechanicspassive stiffness modulationstress underestimation

Identifiers

PMID42363822
PMCPMC13336102

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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.