Curiox – Laminar Wash Mini System
The Laminar Wash MINI System employs the only suspension-cell sample preparation method that eliminates the centrifuge and the problems it introduces. It is an affordable bench-top instrument designed to produce the most quantitative and reproducible results for single cell sequencing, flow cytometry and mass cytometry.
Avoid the centrifuge and improve data quality and biosafety with the Laminar Wash MINI System
Key Features
- Increased Cell Retention: For splenocytes and TILS or with rare populations of cells. Reliably high cell retention even with 100’s of cells per well
- Rapid Time to Process: The system processes 16 samples in 6 minutes
- Better Sequencing Data: Reduced background with more thorough wash.
- No Pelleting of Cells: Reduces doublets, clumping, and clogging.
- Standardized Results: Reduces manual pipetting errors and errors associated with multiple personnel changes and locations
- Higher Stain Index: For better resolution of populations
- Cleaner Data: Improved cell segregation and resolution; Reduces debris and aggregation of cells
- Affordable with a small footprint
What the Mini delivers:
- Upgrade from the centrifuge — centrifuge-free, laminar flow based washing system
- Enhance cell retention
- Reduce hands on time
- Improve cell viability and reduce stress on cells
Data using the laminar wash system
- Enhanced Cell Recovery post cell sorting for lower cell numbers
- Cell-hashing data reveals increased singlet and reduced doublet counts
- Flexible and optimized performance for using Cite-seq higher antibody panels
Applications
- Flow cytometry
- Single cell sequencing
- Tumor microenvironment
- COVID-19 sample preparation
Technical Specifications
| Voltage Requirements | 100-240V |
| Power Consumption | 24V/3.0A |
| W x H x D (mm) | 275 x 232 x 187.5 |
| Weight | 3.5kg (7.7 lbs) |
See How the Laminar Wash Technology Works
MINI Virtual Demo
Key Industries
- Biopharmaceutical and Biotechnology
Curiox was founded in 2008 to commercialize DropArray™ technology, which was initially developed by Namyong Kim, PhD and his group…
