Microfluidic flow assembly system with magnetic clamp for unlimited geometry in millimetric hydrogel film patterning

2022 ◽  
Vol 26 ◽  
pp. 101330
Author(s):  
Daniel A.N. Foster ◽  
Dae Kun Hwang
ROBOT ◽  
2013 ◽  
Vol 35 (5) ◽  
pp. 589
Author(s):  
Dechun ZHENG ◽  
Yongping ZHANG ◽  
Guojun LI

2006 ◽  
Vol 78 (5) ◽  
pp. 1657-1664 ◽  
Author(s):  
Khanh C. Hoang ◽  
Dmitry Malakhov ◽  
William E. Momsen ◽  
Howard L. Brockman

Life ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 515
Author(s):  
Andrea Cugno ◽  
Alex Marki ◽  
Klaus Ley

Leukocytes, including neutrophils, which are propelled by blood flow, can roll on inflamed endothelium using transient bonds between selectins and their ligands, and integrins and their ligands. When such receptor–ligand bonds last long enough, the leukocyte microvilli become extended and eventually form thin, 20 m long tethers. Tether formation can be observed in blood vessels in vivo and in microfluidic flow chambers. Tethers can also be extracted using micropipette aspiration, biomembrane force probe, optical trap, or atomic force microscopy approaches. Here, we review the biomechanical properties of leukocyte tethers as gleaned from such measurements and discuss the advantages and disadvantages of each approach. We also review and discuss viscoelastic models that describe the dependence of tether formation on time, force, rate of loading, and cell activation. We close by emphasizing the need to combine experimental observations with quantitative models and computer simulations to understand how tether formation is affected by membrane tension, membrane reservoir, and interactions of the membrane with the cytoskeleton.


Author(s):  
Moretti Emilio ◽  
Tappia Elena ◽  
Limère Veronique ◽  
Melacini Marco

AbstractAs a large number of companies are resorting to increased product variety and customization, a growing attention is being put on the design and management of part feeding systems. Recent works have proved the effectiveness of hybrid feeding policies, which consist in using multiple feeding policies in the same assembly system. In this context, the assembly line feeding problem (ALFP) refers to the selection of a suitable feeding policy for each part. In literature, the ALFP is addressed either by developing optimization models or by categorizing the parts and assigning these categories to policies based on some characteristics of both the parts and the assembly system. This paper presents a new approach for selecting a suitable feeding policy for each part, based on supervised machine learning. The developed approach is applied to an industrial case and its performance is compared with the one resulting from an optimization approach. The application to the industrial case allows deepening the existing trade-off between efficiency (i.e., amount of data to be collected and dedicated resources) and quality of the ALFP solution (i.e., closeness to the optimal solution), discussing the managerial implications of different ALFP solution approaches and showing the potential value stemming from machine learning application.


2021 ◽  
Vol 25 (4) ◽  
Author(s):  
Hongyu Yang ◽  
Yuanchen Wei ◽  
Beiyuan Fan ◽  
Lixing Liu ◽  
Ting Zhang ◽  
...  

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