Lee Hoyeon, Kim Boyoung, Yun Jiyue, Bae Jinseung, Park Sungsu, Jeon Junseok, Jang Hye Ryoun, Lee Jaecheol, Lee Soah
Department of Biopharmaceutical Convergence, Sungkyunkwan University, Suwon, Republic of Korea.
School of Electronic and Electrical Engineering, Sungkyunkwan University, Suwon, Republic of Korea.
Front Bioeng Biotechnol. 2024 Mar 12;12:1367141. doi: 10.3389/fbioe.2024.1367141. eCollection 2024.
Induced pluripotent stem cell (iPSC)-derived cardiac organoids offer a versatile platform for personalized cardiac toxicity assessment, drug screening, disease modeling, and regenerative therapies. While previous image-based contractility analysis techniques allowed the assessment of contractility of two-dimensional cardiac models, they face limitations, including encountering high noise levels when applied to three-dimensional organoid models and requiring expensive equipment. Additionally, they offer fewer functional parameters compared to commercial software. To address these challenges, we developed an open-source, particle image velocimetry-based software (PIV-MyoMonitor) and demonstrated its capacity for accurate contractility analysis in both two- and three-dimensional cardiac models using standard lab equipment. Comparisons with four other open-source software programs highlighted the capability of PIV-MyoMonitor for more comprehensive quantitative analysis, providing 22 functional parameters and enhanced video outputs. We showcased its applicability in drug screening by characterizing the response of cardiac organoids to a known isotropic drug, isoprenaline. In sum, PIV-MyoMonitor enables reliable contractility assessment across various cardiac models without costly equipment or software. We believe this software will benefit a broader scientific community.
诱导多能干细胞（iPSC）来源的心脏类器官为个性化心脏毒性评估、药物筛选、疾病建模和再生疗法提供了一个多功能平台。虽然以前基于图像的收缩性分析技术能够评估二维心脏模型的收缩性，但它们存在局限性，包括应用于三维类器官模型时遇到高噪声水平以及需要昂贵的设备。此外，与商业软件相比，它们提供的功能参数较少。为了应对这些挑战，我们开发了一种基于粒子图像测速技术的开源软件（PIV-MyoMonitor），并展示了其使用标准实验室设备在二维和三维心脏模型中进行准确收缩性分析的能力。与其他四个开源软件程序的比较突出了PIV-MyoMonitor进行更全面定量分析的能力，它能提供22个功能参数并增强视频输出。我们通过表征心脏类器官对已知各向同性药物异丙肾上腺素的反应，展示了其在药物筛选中的适用性。总之，PIV-MyoMonitor无需昂贵的设备或软件就能在各种心脏模型中进行可靠的收缩性评估。我们相信该软件将使更广泛的科学界受益。
