X. Zhao, et al , “Raman Characterization of 3D Multicellular Human Stem Cell Organoids”, To be submitted, 2023.

3D organoid models represent a remarkable advancement in the field of in-vitro lab-on-chip studies, as they allow for the emulation of the structure and functions of human tissues and organs. These artificial systems hold great promise in enhancing our understanding of human health and physiology. However, to delve deeper into the intricacies of the human body, it becomes essential to quantitatively analyze the composition and structure of these organoids at the cellular level.

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Auto-QRS plays a pivotal role in quality control, ensuring the viability and uniformity of the implanted stem cells within the organoids. Through Auto-QRS, we are able to generate high-resolution 3D images that depict the distribution of biomolecules within brain organoids. These biomolecules include saturated lipids, monounsaturated lipids, unsaturated lipids, nucleic acids, glycogen, and cytochrome C. The localization and effective concentration of these analytes are visualized through pixel-based imaging. Auto-QRS segregates the raw imaging data into distinct channels representing different biomolecular components, enabling a comprehensive understanding of the organoid's composition. Notably, the 3D images generated through Auto-QRS reveal the presence of rosette structures within the organoids. This capability allows us to track the formation of brain rosettes during the early stages of human brain development, offering a powerful model for the study of birth defects.

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In addition to brain organoids, Auto-QRS has been applied to various other types of tissue organoids, including liver organoids, endometrial organoids, brain organoids, and gastruloids. By employing Auto-QRS in these diverse organoid systems, we gain deeper insights into their composition, structure, and developmental processes. This versatile application of Auto-QRS further highlights its significance in advancing our understanding of tissue development, disease modeling, and potential therapeutic interventions.

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Through ongoing research and the continued development of Auto-QRS, we strive to unlock the full potential of organoid models as invaluable tools in the study of human health and disease. By leveraging this powerful technology, we aim to unravel the complexities of organoid biology and pave the way for transformative advancements in regenerative medicine, drug discovery, and personalized healthcare.