scholarly journals An open source microfluidic sorter for Caenorhabditis nematodes

2019 ◽  
Author(s):  
Nadine Timmermeyer ◽  
Stephen A. Banse ◽  
Joseph H. North ◽  
Matthew Sottile ◽  
Shawn R. Lockery ◽  
...  

Rapid and accurate sorting of biological samples is extremely useful in a wide variety of applications. The model nematode Caenorhabditis elegans lends itself to automated fluid-flow based sorting because of its ability to live in aqueous solutions. Here, we build upon previous developments to construct a microfluidic device capable of sorting individuals based on a variety of characteristics, with a specific application toward differentiating fluorescently marked individuals. We find that our new design generates highly repeatable pools of sorted individuals. In general, there tends to be a tradeoff between precision and speed that can be optimized based on several different factors. Importantly, sorting does not decrease offspring production, and individuals can be sorted multiple times for increased precision. We provide detailed parts lists, schematics and software to allow implementation of these methods in other laboratories. Our results demonstrate that custom-made sorter chips can be a flexible and versatile addition to the nematode experimental toolbox.

Author(s):  
Pengfei Song ◽  
Weize Zhang ◽  
Alexandre Sobolevski ◽  
Kristine Bernard ◽  
Siegfried Hekimi ◽  
...  

The nematode worm Caenorhabditis elegans has been employed as a popular model organism in many fields of biological research. In this paper, we present an easy-to-use microfluidic device for facilitating C. elegans based chemical testing. The device is capable of housing single worms in microfluidic chambers and precisely adjusting the chamber’s chemical environment during experiments. Eight worms can be readily loaded into the chambers through separate loading channels in a quick and gentle manner. In addition, a custom-made software with a graphic user interface is also created for quantitative analysis of locomotion parameters (swimming frequency and bend amplitude) of the worms in response to chemical stimuli, thus greatly enhancing the efficiency of data collection. We perform proof-of-concept experiments using two chemicals, zinc ion (Zn2+) and glucose, which demonstrate the capability and effectiveness of the microfluidic device.


2016 ◽  
Vol 34 (11) ◽  
pp. 1031
Author(s):  
Fangchao YIN ◽  
Hui WEN ◽  
Guoli ZHU ◽  
Jianhua QIN

2019 ◽  
Vol 215 ◽  
pp. 10002
Author(s):  
Pooria Hadikhani ◽  
Navid Borhani ◽  
S. Mohammad H. Hashemi ◽  
Demetri Psaltis

Deep neural networks (DNN) are employed to measure the flow rate and the concentration of the liquid using the images of the droplets in a microfluidic device. The trained networks are able to measure flow rates and concentrations with good accuracy.


Lab on a Chip ◽  
2016 ◽  
Vol 16 (9) ◽  
pp. 1644-1651 ◽  
Author(s):  
G. Birarda ◽  
A. Ravasio ◽  
M. Suryana ◽  
S. Maniam ◽  
H.-Y. N. Holman ◽  
...  

We report an innovative and simple way to fabricate plastic devices with infrared transparent view-ports enabling infrared spectromicroscopy of living biological samples. The main advantages of this new approach include lower production costs and a minimal access to a micro-fabrication facility.


2013 ◽  
Vol 178 ◽  
pp. 343-349 ◽  
Author(s):  
Jingjing Wang ◽  
Zhaoyu Li ◽  
Zijing Xu ◽  
Liang Hu ◽  
Xiaojun Feng ◽  
...  

2021 ◽  
Author(s):  
Robert Archibald ◽  
Graham M. Gibson ◽  
Samuel T. Westlake ◽  
Akhil Kallepalli

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