AI-guided laser purification of human iPSC-derived cardiomyocytes for next-generation cardiac cell manufacturing
Abstract Current methods for producing cardiomyocytes from human induced pluripotent stem cells (hiPSCs) using 2D monolayer differentiation are often hampered by batch-to-batch variability and inefficient purification processes. Here, we introduce CM-AI, a novel artificial intelligence-guided laser...
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| Main Authors: | , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-05-01
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| Series: | Communications Biology |
| Online Access: | https://doi.org/10.1038/s42003-025-08162-0 |
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| Summary: | Abstract Current methods for producing cardiomyocytes from human induced pluripotent stem cells (hiPSCs) using 2D monolayer differentiation are often hampered by batch-to-batch variability and inefficient purification processes. Here, we introduce CM-AI, a novel artificial intelligence-guided laser cell processing platform designed for rapid, label-free purification of hiPSC-derived cardiomyocytes (hiPSC-CMs). This approach significantly reduces processing time without the need for chronic metabolic selection or antibody-based sorting. By integrating real-time cellular morphology analysis and targeted laser ablation, CM-AI selectively removes non-cardiomyocyte populations with high precision. This streamlined process preserves cardiomyocyte viability and function, offering a scalable and efficient solution for cardiac regenerative medicine, disease modeling, and drug discovery. |
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| ISSN: | 2399-3642 |