Asiga 3D printers for research : microfluidics

30. Juli 2020 3D-Druck

With the arrival of the era of 3D printed microfluidics system, Asiga offers the most advanced 3D printing technology for the microfluidics sector through its MAX X Series. Asiga has a proven track-record in 3D printing complex microfluidics devices and it is used widely within the innovative microfluidics community. The capability of Asiga machines are showcased in published works in peer-reviewed journals such as the followings: 

Monolithic, 3D-Printed Microfluidic Platform for Recapitulation of Dynamic Tumor Microenvironments (2018) Microsystem Technology Lab & Draper Lab, Massachusetts Institute of technology (MIT), USA

 

 

3D-MiXD: 3D-printed X-ray-compatible microfluidic devices for rapid, low-consumption serial synchrotron crystallography data collection in flow2 (2020) The Hamburg Centre for Ultrafast Imaging, Germany

 

 

 

Fabrication of biocompatible lab-on-chip devices for biomedical applications by means of a 3D-printing process (2015) Forschungszentrum Jülich GmbH, Germany

 

 

 

 

3D Printed Microfluidics Probe (2018) Institut de génie biomédical, École Polytechnique de Montréal, Canada

 

 

 

 

High density 3D printed microfluidic valves, pumps, and multiplexer (2016) Dept. of Chemistry & Biochemistry, Brigham Young University, USA

 

 

 

 

Additive manufacturing of microfluidics glass chips (2018) Karlsruher Institut für Technologie (KIT), Germany

 


How does an Asiga machine achieve such high-quality results in microfluidics research? 

High-quality optical projection system 

Throughout all of these examples, the fabrication for the microfluidics devices demanded high-level accuracy and precision due to their applications in microscopic biochemical and physical phenomena. The pixel resolution in an Asiga MAX X27 enables 100 µm channels, pumps, wirings or tubes structures to be printed effortlessly. The optical components that determines the photopolymerization process are specially curated for professional usage. This ensures a robust system that maintains its high-performance through time. 

Precision layers 

The machine is equipped with various smart sensors to monitor the printing conditions such as the UV LED lamp radiometer, build envelope temperature sensors, and the Smart Positioning System (SPS) that uses position encoders and force sensors. This gives the printed parts the signature layer precision and surface quality. 

Full control

Asiga machines are accompanied by the Composer Software, where any user can control the printing parameters according to their specific needs. The printing process are recorded so users always have access to track the printing process, layer-per-layer.

Open material system

Asiga machines are open material system that allows the user to print optimally with any DLP photoresins. The Asiga Team keeps pursuing to have as many high-quality photoresins producers on board. There is wide selection for biocompatible and functional photoresins that you can choose from. Some of them has also been very well studied by the research community. There is also close collaborations with highly innovative photoresins developers. The users will benefit from this variety and versatility. 

Good value for lean workflow, flexibility and quality

When you take into account the high-quality component, the robustness and the fine engineering of the system; Asiga machine is undoubtedly the best investment for implementing 3D printing technology into your lab. Fabricating your own microfluidics device also enables you to optimize your workflow with your in-house proprietary; allowing you to iterate designs with agility.


In general, Asiga machines are very suitable for technical research and development applications. We have served a lot of customers from this sector with great satisfaction; many of whom smoothly and intuitively integrate the new 3D printing machine into their labs without much difficulty. We are always happy to provide consultation and training for hardware, software and 3D printing process optimization. 

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