2022
DOI: 10.1039/d2lc00629d
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Automation of cell culture assays using a 3D-printed servomotor-controlled microfluidic valve system

Abstract: We present a 3D-printed microfluidic valve system for automated liquid handling in cell culture. The published 3D models enable the customization by the scientific community in a DIY approach.

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Cited by 7 publications
(3 citation statements)
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References 34 publications
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“…In addition, the integration of sensors, e.g., for the detection of cell metabolites, as previously demonstrated by Siller et al [35] and Arshavsky-Graham et al [36], is also feasible. Last but not least, the device presents a promising starting point for the realization of complex fluid flow patterns by integrating valve systems into the setup for automated addition of media supplements, for example, based on the work of Winkler et al [37].…”
Section: Discussionmentioning
confidence: 99%
“…In addition, the integration of sensors, e.g., for the detection of cell metabolites, as previously demonstrated by Siller et al [35] and Arshavsky-Graham et al [36], is also feasible. Last but not least, the device presents a promising starting point for the realization of complex fluid flow patterns by integrating valve systems into the setup for automated addition of media supplements, for example, based on the work of Winkler et al [37].…”
Section: Discussionmentioning
confidence: 99%
“…The materials suitable for MJM include photocurable plastic resin, MED610 photopolymer, and VisiJet M3 Crystal. [52][53][54] FDM has become more and more mature and has important applications in many fields. In 1988, Scott Crump invented FDM.…”
Section: Selection Of 3d Printing Techniques For Biosensors and Biome...mentioning
confidence: 99%
“…The 21st century commenced with the ascent of open-source and cost-effective software/hardware solutions, leading to the introduction of electronic prototyping tools like the Arduino microcontroller board for applications in fluid flow control systems [13][14][15][16][17][18][19][20] and droplet microfluidics [21], along with the Raspberry Pi single-board computers [22] used in colour and fluorescence detection, direct cellular image-detection systems and microscopy, and droplet microfluidics. Open-source hardware has been used for several aspects of microfluidic research and development, including pump and flow systems [13][14][15][16][17]19,20,[23][24][25][26][27][28][29] and temperature control [30]. However, imaging is a key component of biological research-from microscopy to tracking optical readouts-and although there are many diverse approaches to sensing of biosystems, optical-based biosensors are one of the most widely used [30,31].…”
Section: Raspberry Pi/pi Camera Systemmentioning
confidence: 99%