5 papers
Quantifying the Spatiotemporal Dynamics of Engineered Cardiac Microbundles
Hiba Kobeissi, Samuel J. DePalma, Javiera Jilberto +3
Brightfield time-lapse imaging is widely used in cardiac tissue engineering, yet the absence of standardized, interpretable analytical frameworks limits reproducibility and cross-p…
SarcGraph for High-Throughput Regional Analysis of Sarcomere Organization and Contractile Function in 2D Cardiac Muscle Bundles
Saeed Mohammadzadeh, Yao-Chang Tsan, Aaron Renberg +3
Timelapse images of human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) provide rich information on cell structure and contractile function. However, it is chall…
Quantifying HiPSC-CM Structural Organization at Scale with Deep Learning-Enhanced SarcGraph
Saeed Mohammadzadeh, Emma Lejeune
In cardiac cells, structural organization is an important indicator of cell maturity and healthy function. Healthy cardiomyocytes exhibit well-aligned morphology with densely packe…
MicroBundlePillarTrack: A Python package for automated segmentation, tracking, and analysis of pillar deflection in cardiac microbundles
Hiba Kobeissi, Xining Gao, Samuel J. DePalma +8
Movies of human induced pluripotent stem cell (hiPSC)-derived engineered cardiac tissue (microbundles) contain abundant information about structural and functional maturity. Howeve…
Segmenting mechanically heterogeneous domains via unsupervised learning
Quan Nguyen, Emma Lejeune
From biological organs to soft robotics, highly deformable materials are essential components of natural and engineered systems. These highly deformable materials can have heteroge…