DynamicOrgan® 3-Channel Kit

The DynamicOrgan^® 3-Channel Kit includes all the consumables required to build tri-layered organ-on-chip models containing multiple epithelial and endothelial interfaces between tissue compartments:

• 2-channel biochips with PET membrane (S: 10, M: 25, L: 50)
• 2-Stop tubing (S: 20, M: 50, L: 100)
• Adapter/Connectors (S: 40, M: 100, L: 200)
• Reservoirs (S: 20, M: 50, L: 100)
• Plugs (S: 80, M: 200, L: 400)
• Mini Plugs (S: 20, M: 50, L: 100)
• peristaltic pump P-70 Havard Apparatus (system)

KIT vs. SYSTEM

You can choose between Kits and Systems, where the kit only includes the consumables, and the system also includes a peristaltic pump.

SIZE (S, M, L)

There are different sizes available, indicating the number of included biochips:

• S: 10x 2-channel biochips
• M: 25x 2-channel biochips
• L: 50x 2-channel biochips

PORE SIZES

For each size, you can choose between four different pore sizes of the PET membrane of the biochip: 0.4 µm, 3.0 µm, 5.0 µm, and 8.0 µm.

THE BIOCHIP

The 3-channel biochip contains two membranes (one porous and one microactive), dividing the culture chamber into a top channel (140 µL), a middle channel (200 µL), and a bottom channel (150 µL), which are accessible via standardized Luer ports. Cell suspensions, coatings, and gels can be introduced into each channel, enabling the creation of cell layers on both sides of the porous membrane. The separation of the channels allows the use of different media with individual flow rates per channel. There are two test cavities per biochip.

The biochip has microscope slide format for easy visualization under the microscope.

APPLICATION HIGHLIGHT

The 3-channel kit, in combination with the TME kit, can be used to model the tumor microenvironment. The TME kit allows for the embedding of tumor spheroids within a matrix inside the 3-channel biochip, which generates a perfusable, microvascularized 3D tumor structure. Combined with the peristaltic pump, this setup allows continuous perfusion and thus generates a highly dynamic modeling of the tumor microenvironment.