2018
DOI: 10.1016/j.cad.2017.12.004
|View full text |Cite
|
Sign up to set email alerts
|

Computer-aided design of resistance micro-fluidic circuits for 3D printing

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
6
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
5
2
1

Relationship

1
7

Authors

Journals

citations
Cited by 8 publications
(6 citation statements)
references
References 31 publications
0
6
0
Order By: Relevance
“…The selling point of a piece of jewelry, especially commercial jewelry used for mass production, lies more in the design connotation it embodies. If too much additional cost is added to the production, it will affect the overall value of the jewelry and affect the sales [5][6] . 3D printing technology can well balance the issues of craftsmanship, complex modeling and product value.…”
Section: Advantages Of Computer 3d Printing Technologymentioning
confidence: 99%
“…The selling point of a piece of jewelry, especially commercial jewelry used for mass production, lies more in the design connotation it embodies. If too much additional cost is added to the production, it will affect the overall value of the jewelry and affect the sales [5][6] . 3D printing technology can well balance the issues of craftsmanship, complex modeling and product value.…”
Section: Advantages Of Computer 3d Printing Technologymentioning
confidence: 99%
“…encoding, along with the whole range of other encoding techniques, Abbreviations: 2D and 3D, 2-dimension, and 3-dimension. These notes have been compiled from the following references [38,46,[191][192][193][194][195]. *4D printing has just recently been coined in the printing technology [196][197][198].…”
Section: Other Areas Of Ctcs Technology Development Should Focus On Critical Clinical Relevancementioning
confidence: 99%
“…Abbreviations: 2D and 3D, two-dimensional and three-dimensional. These notes have been compiled from the following references [38,46,191195]. CTCs challengesopportunitiesstrengthsweaknessesCTCs are rare, present in extreme low concentration in blood amidst millions of red blood cells and billions of white blood cells [184,185]establishment of more robust and reproducible methods for improving disease management from early detection to the development of targeted therapiesthere are many CTCs technology platforms that can potentially monitor CTC count of patients' blood in real-timemost CTC-based assays present low sensitivity, increasing patients at high risk of developing metastasisCTCs are highly heterogeneous, with phenotypic traits that are also distinct [186,187]more relevant studies should focus on the development of omics-based CTC studies at single cellone of the ways of monitoring advanced stage cancer patients is monitoring the positive CTCs count, which equate to poor prognosiswith CellSearch as the only approved enumerating tool for CTCs count limits the capture of other CTCs phenotypes presentCTCs are highly vulnerable and easily damaged [21,46,48]one of the ways of studying viability of cells captured is the development of ex vivo modelsalthough the mechanism of cancer heterogeneity and phenotypic traits is inexplicable, the advent of machine learning algorithm such as Bayesian classifier and gene selection classifier have opened up new opportunities for understanding CTCs characteristicsthere is a scarce information on the molecular nature of single CTC, thus hindering the development of effective analytical platformscaptured cells must be pure and viable.…”
Section: Ctc Technologiesmentioning
confidence: 99%
“…Recently, in a work described in the journal Computer-Aided Design, we proposed an algorithmic approach for designing RMNs that uses a hydraulic resistance profile to synthesize a microfluidic design for 3-D printing (78). Our algorithm uses fabrication-related constraint propagation and an optimization protocol to suggest a physical design with a minimal footprint for the proposed input electrical model.…”
Section: Synthesis Of a Resistive Microfluidic Network Device For 3-d Printingmentioning
confidence: 99%