A low-cost 3D printed microfluidic bioreactor and imaging chamber for live-organoid imaging
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- Year
- —
- Skill
- medium
- Docs
- moderate
- Rubric
- 3.2 / 5
Implementation assessment
Scoring by criterion
Scores describe accessibility and implementation characteristics reported in the reviewed source. They are not a measure of scientific quality.
Resolution
Smallest feature/positioning evidence about 50 um.
Scalability/Throughput
Operation appears single-unit or manually constrained.
Build and Part Sourcing Complexity
Mix of common parts and custom/printed components.
Skill Complexity
Build/operation described as low-skill or basic assembly.
Equipment/Cosumable/Facility Requirement Accessibility
Uses common benchtop/desktop equipment or generic consumables.
Application Level
Application scope appears narrow or proof-of-concept.
Accessibility to documentation
Some open documentation or files are available.
Validation/Troubleshooting Complexity
Validation includes standards, benchmarking, replicates, or multi-condition tests.
Speed/Cycle Time
No clear speed comparison found; assigned neutral score.
Build Time
Build time not reported; assigned neutral score.
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Publication data
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Publication record
Abstract
Organoids are biological systems grown in vitro and are observed to self-organize into 3D cellular tissues of specific organs. Brain organoids have emerged as valuable models for the study of human brain development in health and disease. Researchers are now in need of improved culturing and imaging tools to capture the in vitro dynamics of development processes in the brain. Here, we describe the design of a microfluidic chip and bioreactor, to enable in situ tracking and imaging of brain organoids on-chip. The low-cost 3D printed microfluidic bioreactor supports organoid growth and provides an optimal imaging chamber for live-organoid imaging, with drug delivery support. This fully isolated design of a live-cell imaging and culturing platform enables long-term live-imaging of the intact live brain organoids as it grows. We can thus analyze their self-organization in a controlled environment with high temporal and spatial resolution.
Bibliographic details
Access and metrics
Topics and keywords
Funding
- National Institutes of Health · R01MH085802
- Center for Computational Brain , IIT Madras
- Department of Biotechnology, Ministry of Science and Technology, India · BIRAC-BT/BIPP0946/36/15
Perspective and practical signals
Why it matters
Supplemental record retained to make the downloaded paper corpus fully navigable.
Limitations
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