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Low-cost, scalable, and automated fluid sampling for fluidics applications

Booeshaghi, A. Sina and Kil, Yeokyoung and Min, Kyung Hoi and Gehring, Jase and Pachter, Lior (2021) Low-cost, scalable, and automated fluid sampling for fluidics applications. . (Unpublished)

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We present colosseum, a low-cost, modular, and automated fluid sampling device for scalable fluidic applications. The colosseum fraction collector uses a single motor, can be built for less than $100 using off-the-shelf and 3D-printed components, and can be assembled in less than an hour. Build Instructions and source files are available at

Item Type:Report or Paper (Discussion Paper)
Related URLs:
URLURL TypeDescription Paper ItemCode ItemCode
Booeshaghi, A. Sina0000-0002-6442-4502
Kil, Yeokyoung0000-0002-1235-7379
Min, Kyung Hoi0000-0003-0894-4017
Gehring, Jase0000-0002-3894-9495
Pachter, Lior0000-0002-9164-6231
Additional Information:The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license. Version 1: January 28, 2021; Version 2: February 16, 2021. We thank Justin Bois for naming the colosseum instrument. We also thank the Caltech Library Techlab for helping us 3D print parts. We thank Taleen Dilanyan for wet lab training and support. We thank Eduardo da Veiga Beltrame for assistance with 3D printing. Author contributions: ASB, YK, and LP designed the fraction collector. JG helped set instrument specifications. YK assembled and built the fraction collector and performed the experiments. ASB, YK, and KHM designed the GUI. KHM coded the GUI. ASB, YK, and KHM wrote the documentation. ASB and YK analyzed the data and made figures. ASB, YK, and LP wrote the manuscript. The authors declare no conflicts of interest. Data & software availability: All data and software can be found in the GitHub repository:
Record Number:CaltechAUTHORS:20210129-070700034
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Official Citation:Low-cost, scalable, and automated fluid sampling for fluidics applications. A. Sina Booeshaghi, Yeokyoung Kil, Kyung Hoi Min, Jase Gehring, Lior Pachter. bioRxiv 2021.01.27.428538; doi:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:107798
Deposited By: Tony Diaz
Deposited On:29 Jan 2021 18:09
Last Modified:18 Feb 2021 23:19

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