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A multiwell plate approach to increase the sample throughput during tissue clearing
Fumito Akiyama1,2, Katsuhiko Matsumoto1,3, Katsunari Yamashita1,4
1Laboratory for Synthetic Biology, Center for Biosystems Dynamics Research, RIKEN, Suita, Japan.
Nature Protocols
|December 3, 2024
Summary
This study introduces a high-throughput method for 3D pathology using parallel tissue clearing in a six-well plate. This approach streamlines sample processing, reducing hands-on time for biomedical diagnostics and research.
Area of Science:
- Biomedical Diagnostics
- Pathology
- Cellular Biology
Background:
- Traditional 2D pathology limits data quality.
- Current 3D tissue clearing workflows are complex and time-consuming.
- Increased throughput is needed for advanced biomedical diagnostics.
Purpose of the Study:
- To develop a high-throughput, parallel processing method for 3D tissue clearing and analysis.
- To reduce hands-on time and improve efficiency in 3D pathology workflows.
- To adapt existing clearing protocols for multi-sample compatibility.
Main Methods:
- A novel workflow combining a tissue clearing device with a six-well multiwell plate for parallel processing.
- Integration of passive clearing methods like Clear, Unobstructed Brain/Body Imaging Cocktails and Computational (CUBIC) analysis.
- Streamlined gel embedding, high-speed light-sheet microscopy, and cloud-based data analysis within the multiwell plate format.
Main Results:
- Achieved parallel tissue clearing, immunostaining, imaging, and analysis, increasing 3D pathology throughput.
- Reduced overall hands-on time per sample despite a slight increase in individual sample processing time.
- Demonstrated successful whole-organ analysis, completing clearing, imaging, and data analysis within 10 days for some samples.
Conclusions:
- The developed six-well plate-based parallel processing method significantly enhances the throughput of 3D pathology.
- This approach offers a practical and efficient platform for cellular biology and pathology research.
- The streamlined workflow facilitates advanced biomedical diagnostics and data acquisition.

