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Understanding the structural and functional development of human-induced pluripotent stem-cell-derived cardiomyocytes is essential to engineering cardiac tissue that enables pharmaceutical testing, modeling diseases, and designing…

In cardiac cells, structural organization is an important indicator of cell maturity and healthy function. Healthy cardiomyocytes exhibit well-aligned morphology with densely packed and organized sarcomeres. Immature or diseased…

Quantitative Methods · Quantitative Biology 2025-02-03 Saeed Mohammadzadeh , Emma Lejeune

Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) are an effective tool for studying cardiac function and disease, and hold promise for screening drug effects on human tissue. Changes to motion patterns in these cells…

Tissues and Organs · Quantitative Biology 2024-07-09 Henrik Finsberg , Verena Charwat , Kevin Healy , Samuel Wall

Timelapse images of human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) provide rich information on cell structure and contractile function. However, it is challenging to reproducibly generate tissue samples and conduct…

Quantitative Methods · Quantitative Biology 2025-11-18 Saeed Mohammadzadeh , Yao-Chang Tsan , Aaron Renberg , Hiba Kobeissi , Adam Helms , Emma Lejeune

Advancing human induced pluripotent stem cell derived cardiomyocyte (hiPSC-CM) technology will lead to significant progress ranging from disease modeling, to drug discovery, to regenerative tissue engineering. Yet, alongside these potential…

A significant hallmark of hypertrophic cardiomyopathy (HCM) is fiber disarray, which is associated with various cardiac events such as heart failure. Quantifying fiber disarray remains critical for understanding the disease s complex…

Tissues and Organs · Quantitative Biology 2025-07-04 Mohammad Mehri , Kenneth S. Campbell , Lik Chuan Lee , Jonathan F. Wenk

A better fundamental understanding of human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) has the potential to advance applications ranging from drug discovery to cardiac repair. Automated quantitative analysis of beating…

Quantitative Methods · Quantitative Biology 2021-11-17 Bill Zhao , Kehan Zhang , Christopher S. Chen , Emma Lejeune

Human pluripotent stem cell-derived cardiomyocytes (hPSC-CMs) are a promising therapy for regenerating myocardium after infarction, but their use is limited by graft-related arrhythmias that frequently occur shortly after transplantation.…

Tissues and Organs · Quantitative Biology 2026-05-05 Suran Galappaththige , Vadim N Biktashev , Faisal J Alibhai , Michael Laflamme

Engineered heart tissues (EHTs) present a potential solution to some of the current challenges in the treatment of heart disease; however, the development of mature, adult-like cardiac tissues remains elusive. Mechanical stimuli have been…

Tissues and Organs · Quantitative Biology 2023-06-02 Javiera Jilberto , Samuel J. DePalma , Jason Lo , Hiba Kobeissi , Lani Quach , Emma Lejeune , Brendon M. Baker , David Nordsletten

Brightfield time-lapse imaging is widely used in cardiac tissue engineering, yet the absence of standardized, interpretable analytical frameworks limits reproducibility and cross-platform comparison. We present an open, scalable…

Quantitative Methods · Quantitative Biology 2026-04-10 Hiba Kobeissi , Samuel J. DePalma , Javiera Jilberto , David Nordsletten , Brendon M. Baker , Emma Lejeune

Contraction assay based on surface measurement have been widely used to evaluate cell contractility in 3D models. This method is straightforward and requires no specific equipment, but it does not provide quantitative data about contraction…

In silico tissue models enable evaluating quantitative models of magnetic resonance imaging. This includes validating and sensitivity analysis of imaging biomarkers and tissue microstructure parameters. We propose a novel method to generate…

The dynamics of many macromolecular machines is characterized by chemically-mediated structural changes that achieve large scale functional deployment through local rearrangements of constitutive protein sub-units. Motivated by recent high…

Soft Condensed Matter · Physics 2024-07-16 Noah Toyonaga , L Mahadevan

Hypertrophic cardiomyopathy (HCM) requires accurate risk stratification to inform decisions regarding ICD therapy and follow-up management. Current established models, such as the European Society of Cardiology (ESC) score, exhibit moderate…

Scalable manufacturing of human induced pluripotent stem cells (iPSCs) is essential for industrial-scale production of cell therapies and regenerative medicines. However, the 3D aggregate cultures used in manufacturing exhibit substantial…

This paper introduces a new approach for simulating magnetic properties of nanocomposites comprising magnetic particles embedded in a non-magnetic matrix, taking into account the 3D structure of the system in which particles' positions…

Mesoscale and Nanoscale Physics · Physics 2014-10-22 R. F. Neumann , M. Bahiana , L. G. Paterno , M. A. G. Soler , J. P. Sinnecker , J. G. Wen , P. C. Morais

We propose a novel cantilever device integrated with a polydimethylsiloxane (PDMS)-encapsulated crack sensor that directly measures the cardiac contractility. The crack sensor was chemically bonded to a PDMS thin layer to form a sandwiched…

Quantifying fiber disarray, which is a prominent maladaptation associated with hypertrophic cardiomyopathy, remains critical to understanding the disease's complex pathophysiology. This study investigates the role of heterogeneous…

Tissues and Organs · Quantitative Biology 2024-09-25 Mohammad Mehri , Hossein Sharifi , Kenneth S. Campbell , Jonathan F. Wenk

Cardiac myocytes are the fundamental cells composing the heart muscle. The propagation of electric signals and chemical quantities through them is responsible for their nonlinear contraction and dilatation. In this study, a theoretical…

Soft Condensed Matter · Physics 2018-08-01 Pietro Lenarda , Alessio Gizzi , Marco Paggi

As the number of patients with heart failure increases, machine learning (ML) has garnered attention in cardiomyopathy diagnosis, driven by the shortage of pathologists. However, endomyocardial biopsy specimens are often small sample size…

Machine Learning · Computer Science 2025-10-23 Masaya Mori , Yuto Omae , Yutaka Koyama , Kazuyuki Hara , Jun Toyotani , Yasuo Okumura , Hiroyuki Hao
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