Evidence map›Paper›PMID 42529433›Full record

ArticleResults in engineering2026

Quantifying Local Strain Field and Deformation in Active Contraction of Bladder Using a Pretrained Transformer Model: A Speckle-Free Approach.

Alireza Asadbeygi, Anne Robertson, Yasutaka Tobe, Masoud Zamani, Sean D Stocker, Paul Watton, Naoki Yoshiumra, Simon Watkins

Abstract read
In one paragraph

Article in Results in engineering, 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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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Alireza AsadbeygiDepartment of Mechanical Engineering and Materials Science, University of Pittsburgh, PA, U.S.A.
Anne RobertsonDepartment of Mechanical Engineering and Materials Science, University of Pittsburgh, PA, U.S.A.
Yasutaka TobeDepartment of Mechanical Engineering and Materials Science, University of Pittsburgh, PA, U.S.A.
Masoud ZamaniDepartment of Mechanical Engineering and Materials Science, University of Pittsburgh, PA, U.S.A.
Sean D StockerDepartment of Neurobiology, University of Pittsburgh School of Medicine, PA, U.S.A.
Paul WattonDepartment of Computer Science & Insigneo Institute for in silico Medicine, University of Sheffield, Sheffield, U.K.
Naoki YoshiumraDepartment of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, PA, U.S.A.
Simon WatkinsCenter for Biologic Imaging, University of Pittsburgh, Pittsburgh, PA, U.S.A.

Funding

A Digital Twin for Designing Bladder Treatment informed by Bladder Outlet Obstruction Mechanobiology (BOOM)R01DK133434 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Anne Marie Robertson, Paul Watton · 2023 to 2026
$3.2M
Bladder Mucosal Dysfunction During AgingR01AG056944 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI APODACA, GERARD L, BIRDER, LORI A · 2018 to 2022
$3.2M
NIA NIH HHS R01 AG056944NIDDK NIH HHS R01 DK133434
6 · The paper itself

Abstract

Accurate quantification of local strain fields during bladder contraction is essential for understanding the biomechanics of bladder micturition, in both health and disease. Conventional digital image correlation (DIC) methods have been successfully applied to various biological tissues; however, this approach requires artificial speckling, which can alter both passive and active properties of the tissue. In this study, we introduce a speckle-free framework for quantifying local strain fields using a state-of-the-art, zero-shot transformer model, CoTracker3. We utilized a custom-designed, portable isotonic biaxial apparatus compatible with multiphoton microscopy (MPM), to demonstrate this approach, successfully tracking natural bladder lumen textures without artificial markers. Benchmark tests validated the method's high accuracy, achieving a tracking RMSE of less than 1.5 pixels and low strain errors. Our framework effectively captured heterogeneous deformation patterns, despite complex folding and buckling, which conventional, DIC often fails to track. Application to in vitro active bladder contractions in four rat specimens (n=4) revealed statistically significant anisotropy (p<0.01), with higher contraction longitudinally compared to circumferentially. Multiphoton microscopy further illustrated and confirmed heterogeneous morphological changes, such as large fold formation during active contraction. This non-invasive approach eliminates speckle induced artifacts, enabling more physiologically relevant measurements, and has broad applicability for material testing of other biological and engineered systems.

Indexed as

CoTracker3Digital Image Correlation (DIC)Multiphoton Microscopy (MPM)Strain FieldTransformer ModelsUrinary Bladder Contraction

Identifiers

PMID42529433
PMCPMC13417658

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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.