A feedback-driven brain organoid platform enables automated maintenance and high-resolution neural activity monitoring
- Kateryna Voitiuk 1,2, Spencer T Seiler 1,2, Mirella Pessoa de Melo 1,3, Jinghui Geng 1,3, Tjitse van der Molen 4,5, Sebastian Hernandez 1,3, Hunter E Schweiger 1,6, Jess L Sevetson 1,6, David F Parks 1,2, Ash Robbins 1,3, Sebastian Torres-Montoya 1,3, Drew Ehrlich 1,7, Matthew A T Elliott 1,2, Tal Sharf 1,2, David Haussler 1,2, Mohammed A Mostajo-Radji 1,6, Sofie R Salama 1,2,6, Mircea Teodorescu 1,3
- Kateryna Voitiuk 1,2, Spencer T Seiler 1,2, Mirella Pessoa de Melo 1,3
- 1Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
- 2Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
- 3Department of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
- 4Neuroscience Research Institute, University of California Santa Barbara, Santa Barbara, CA 93106, USA.
- 5Department of Molecular, Cellular and Developmental Biology, University of California Santa Barbara, Santa Barbara, CA 93106, USA.
- 6Department of Molecular, Cell, and Developmental Biology, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
- 7Department of Computational Media, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
- 0Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
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View abstract on PubMed
Summary
This summary is machine-generated.We developed an automated platform for brain organoid research, integrating devices for precise control and continuous monitoring. This system maintains neural activity and enables new studies in vitro.
Area Of Science
- Neuroscience
- Biotechnology
- Bioengineering
Background
- Analyzing tissue cultures, especially brain organoids, demands complex technological integration for monitoring and measurement.
- Current methods often lack the sophisticated coordination needed for advanced in vitro studies.
Purpose Of The Study
- To develop an automated research platform for feedback-driven cell culture studies using brain organoids.
- To enable precise, timed control of in vitro biological experiments through an Internet of Things (IoT) architecture.
Main Methods
- Integration of microfluidics, electrophysiology, and imaging devices within a custom 3D-printed chamber system.
- Utilized programmable microfluidic pumps for periodic feeding and a computer vision system for fluid volume estimation.
- Validated the automated system over 7-day studies of mouse cerebral cortex organoids, comparing with manual protocols.
Main Results
- Automated protocols successfully maintained robust neural activity in brain organoids throughout the 7-day experiments.
- Hourly electrophysiology recordings revealed increasing median neural unit firing rates and dynamic firing patterns.
- Media feeding and exchange showed no acute effects on neuronal firing rates.
Conclusions
- The developed automated platform provides precise control and continuous monitoring for in vitro brain organoid studies.
- This system supports long-term neural activity maintenance and opens possibilities for reagent screening applications.
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