Advances in biological research have been greatly influenced by the development of organoids, a specialized form of 3D cell culture. Created from pluripotent stem cells, organoids are effective in vitro models in replicating the structure and progression of organ development, providing an exceptional tool for studying the complexities of biology. Among these, cerebral cortex organoids (hereafter "organoid") have become particularly instrumental in providing valuable insights into brain formation, function, and pathology. Despite their potential, organoid experiments present several challenges. Organoids require a rigorous, months-long developmental process, demanding substantial resources and meticulous care to yield valuable data on aspects of biology such as neural unit electrophysiology, cytoarchitecture, and transcriptional regulation. Traditionally the data has been difficult to collect on a more frequent and consistent basis, which limits the breadth and depth of modern organoid biology. Generating and measuring organoids depend on media manipulations, imaging, and electrophysiological measurements. Historically are labor- and skill-intensive processes which can increase risks associated with experimental validity, reliability, efficiency, and scalability.
To help address these challenges in 3D culture automation, a research team at UC Santa Cruz (UCSC) has developed a newer approach to automating the handling media and reagents, towards significant improvement in maintaining long term cell cultures. UCSC’s in-incubator, closed-loop subsystem operates with a 24-well plate using a custom microvalve system under servo control. Each of the 24 wells is isolated and addressable via square microchannels with dedicated inlets, outlets, and collection reservoir. Featuring special valve seat geometries and coupling mechanisms, the custom microvalve subsystem has exceeded expectations with >12,000 cycles to date without servo failures. Moreover, the subsystem was designed to permit unobstructed viewing from above, allowing real-time imaging/lighting of wells from the top-view. And while the system was designed to integrate seamlessly with smaller footprints, its modular architecture is easily changeable and scalable.
Patent Pending
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