scispace - formally typeset
Journal ArticleDOI

A New Fluid-Chip Co-Design for Digital Microfluidic Biochips Considering Cost Drivers and Design Convergence

Reads0
Chats0
TLDR
This paper aims to propose a fluid-chip co-design methodology in dealing with the consideration of the fluid- chip cost drivers, while reducing the design cycles in between.
Abstract
The design process for digital microfluidic biochips (DMFBs) is becoming more complex due to the growing need for essential bio-protocols. A number of significant fluid- and chip-level synthesis tools have been offered previously for designing an efficient system. Several important cost drivers like bioassay schedule length, total pin count, congestion-free wiring, total wire length, and total layer count together measure the efficiency of the DMFBs. Besides, existing design gaps among the sub-tasks of the fluid and chip level make the design process expensive delaying the time-to-market and increasing the overall cost. In this context, removal of design cycles among the sub-tasks is a prior need to obtain a low-cost and efficient platform. Hence, this paper aims to propose a fluid-chip co-design methodology in dealing with the consideration of the fluid-chip cost drivers, while reducing the design cycles in between. A simulation study considering a number of benchmarks has been presented to observe the performance.

read more

Citations
More filters
Proceedings ArticleDOI

A Design Optimization for Pin-Constrained Paper-based Digital Microfluidic Biochips Integrating Fluid-Control Co-Design Issues

TL;DR: This paper presents a fluid-control co-design considering several important cost-driving issues like minimization of schedule length, control pin count, and wirelength, together with congestion-free and conflict-free wiring.
Journal ArticleDOI

An Integrated Co-Design of Flow-Based Biochips Considering Flow-Control Design Issues and Objectives

TL;DR: With increasing effectiveness of flow-based microfluidic biochips in the field of biochemical experiments and point-of-care diagnosis, design automation demands enormous attention to integrate the technology into the design process.
Journal ArticleDOI

A Predictive Model for Fluid-Control Codesign of Paper-Based Digital Biochips Following a Machine Learning Approach

TL;DR: A machine learning-based model is built to predict violation in control design beforehand and accordingly guides the fluid-control codesign to tackle important cost-driving issues while attaining congestion- and conflict-free wiring and effectively eliminates the design cycles producing a low-cost platform.
Journal ArticleDOI

Attack-Detection and -Recovery: An Integrated Approach Towards Attack-Tolerant Cyber-Physical Digital Microfluidic Biochips

TL;DR: In this article , an attack-tolerant synthesis is proposed with two-way security through integrating attack-detection and attack-recovery from various Denial of Service attacks.
References
More filters
Journal ArticleDOI

Digital microfluidics: is a true lab-on-a-chip possible?

TL;DR: To understand the opportunities and limitations of EWD microfluidics, this paper looks at the development of lab-on-chip applications in a hierarchical approach.
Journal ArticleDOI

Electrowetting-based actuation of droplets for integrated microfluidics

TL;DR: In this paper, an alternative approach to microfluidics based upon the micromanipulation of discrete droplets of aqueous electrolyte by electrowetting is reported.
Journal ArticleDOI

The worst-case time complexity for generating all maximal cliques and computational experiments

TL;DR: A depth-first search algorithm for generating all maximal cliques of an undirected graph, in which pruning methods are employed as in the Bron-Kerbosch algorithm, which proves that its worst-case time complexity is O(3n/3) for an n-vertex graph.
Journal ArticleDOI

Approximating maximum independent sets by excluding subgraphs

TL;DR: An approximation algorithm for the maximum independent set problem is given, improving the best performance guarantee known toO(n/(logn)2), and the results can be combined into a surprisingly strong simultaneous performance guarantee for the clique and coloring problems.
Journal ArticleDOI

Microfluidics-Based Biochips: Technology Issues, Implementation Platforms, and Design-Automation Challenges

TL;DR: The proposed top-down design-automation approach is expected to relieve biochip users from the burden of manual optimization of bioassays, time-consuming hardware design, and costly testing and maintenance procedures, and it will facilitate the integration of fluidic components with a microelectronic component in next-generation systems-on-chips (SOCs).
Related Papers (5)