Over the past two decades,digital microfluidic biochips have been in much demand for safety-critical and biomedical applications and increasingly important in point-of-care analysis,drug discovery,and immunoassays,amo...Over the past two decades,digital microfluidic biochips have been in much demand for safety-critical and biomedical applications and increasingly important in point-of-care analysis,drug discovery,and immunoassays,among other areas.However,for complex bioassays,finding routes for the transportation of droplets in an electrowetting-on-dielectric digital biochip while maintaining their discreteness is a challenging task.In this study,we propose a deep reinforcement learning-based droplet routing technique for digital microfluidic biochips.The technique is implemented on a distributed architecture to optimize the possible paths for predefined source–target pairs of droplets.The actors of the technique calculate the possible routes of the source–target pairs and store the experience in a replay buffer,and the learner fetches the experiences and updates the routing paths.The proposed algorithm was applied to benchmark suitesⅠand Ⅲ as two different test benches,and it achieved significant improvements over state-of-the-art techniques.展开更多
We will be concerned with the mathematical modeling, numerical simulation, and shape optimization of micro fluidic biochips that are used for various biomedical applications. A particular feature is that the fluid flo...We will be concerned with the mathematical modeling, numerical simulation, and shape optimization of micro fluidic biochips that are used for various biomedical applications. A particular feature is that the fluid flow in the fluidic network on top of the biochips is in- duced by surface acoustic waves generated by interdigital transducers. We are thus faced with a multiphysics problem that will be modeled by coupling the equations of piezoelectricity with the compressible Navier-Stokes equations. Moreover, the fluid flow exhibits a multiscale character that will be taken care of by a homogenization approach. We will discuss and analyze the mathematical models and deal with their numerical solution by space-time discretizations featuring appropriate finite element approximations with respect to hierarchies of simplicial triangulations of the underlying computational domains. Simulation results will be given for the propagation of the surface acoustic waves on top of the piezoelectric substrate and for the induced fluid flow in the microchannels of the fluidic network. The performance of the operational behavior of the biochips can be significantly improved by shape optimization. In particular, for such purposes we present a multilevel interior point method relying on a predictor-corrector strategy with an adaptive choice of the continuation steplength along the barrier path. As a specific example, we will consider the shape optimization of pressure driven capillary barriers between microchannels and reservoirs.展开更多
A multifunctional integrated microfluidic biochip device was engineered to estimate the activity-toxicity and composition principle of medicine in a cell model in vitro. This biochip could be used for disease cells an...A multifunctional integrated microfluidic biochip device was engineered to estimate the activity-toxicity and composition principle of medicine in a cell model in vitro. This biochip could be used for disease cells and healthy cells in two modules of "Yin-Yang" on the same chip for detecting the medicine efficacytoxicity simultaneously, as well as adjust different gradient ratios of concentration through the Christmas tree structure in both "Yin-Yang" modules autonomously for detecting the best compatibility of medicine in maximum efficacy and minimal toxicity. In the applicability experiment, the best concentration of three chemical compounds including dinatin, diosmetin and cisplatin, were detected using the biochip and traditional 96-cell plate. Biochip assays showed perfect positive correlation compared with the results of traditional 96-cell plate, in addition presented advantages as less detection time and much lower price than the traditional 96-cell plate, which indicated the biochip is both convenient and feasible.Thus, the novel microfluidic chip-based multifunctional integrated system congregated the virtues of high throughput, rapid, sensitive, specific, cost-effective, and similar to the physical environment of the human body, which was especially suitable for the medicine efficacy-toxicity and compatibility evaluation.展开更多
文摘Over the past two decades,digital microfluidic biochips have been in much demand for safety-critical and biomedical applications and increasingly important in point-of-care analysis,drug discovery,and immunoassays,among other areas.However,for complex bioassays,finding routes for the transportation of droplets in an electrowetting-on-dielectric digital biochip while maintaining their discreteness is a challenging task.In this study,we propose a deep reinforcement learning-based droplet routing technique for digital microfluidic biochips.The technique is implemented on a distributed architecture to optimize the possible paths for predefined source–target pairs of droplets.The actors of the technique calculate the possible routes of the source–target pairs and store the experience in a replay buffer,and the learner fetches the experiences and updates the routing paths.The proposed algorithm was applied to benchmark suitesⅠand Ⅲ as two different test benches,and it achieved significant improvements over state-of-the-art techniques.
基金support by the NSF under Grants No. DMS-0511611, DMS-0707602, DMS-0810156, DMS-0811153by the German National Science Foundation DFG within the Priority Program SPP 1253
文摘We will be concerned with the mathematical modeling, numerical simulation, and shape optimization of micro fluidic biochips that are used for various biomedical applications. A particular feature is that the fluid flow in the fluidic network on top of the biochips is in- duced by surface acoustic waves generated by interdigital transducers. We are thus faced with a multiphysics problem that will be modeled by coupling the equations of piezoelectricity with the compressible Navier-Stokes equations. Moreover, the fluid flow exhibits a multiscale character that will be taken care of by a homogenization approach. We will discuss and analyze the mathematical models and deal with their numerical solution by space-time discretizations featuring appropriate finite element approximations with respect to hierarchies of simplicial triangulations of the underlying computational domains. Simulation results will be given for the propagation of the surface acoustic waves on top of the piezoelectric substrate and for the induced fluid flow in the microchannels of the fluidic network. The performance of the operational behavior of the biochips can be significantly improved by shape optimization. In particular, for such purposes we present a multilevel interior point method relying on a predictor-corrector strategy with an adaptive choice of the continuation steplength along the barrier path. As a specific example, we will consider the shape optimization of pressure driven capillary barriers between microchannels and reservoirs.
文摘A multifunctional integrated microfluidic biochip device was engineered to estimate the activity-toxicity and composition principle of medicine in a cell model in vitro. This biochip could be used for disease cells and healthy cells in two modules of "Yin-Yang" on the same chip for detecting the medicine efficacytoxicity simultaneously, as well as adjust different gradient ratios of concentration through the Christmas tree structure in both "Yin-Yang" modules autonomously for detecting the best compatibility of medicine in maximum efficacy and minimal toxicity. In the applicability experiment, the best concentration of three chemical compounds including dinatin, diosmetin and cisplatin, were detected using the biochip and traditional 96-cell plate. Biochip assays showed perfect positive correlation compared with the results of traditional 96-cell plate, in addition presented advantages as less detection time and much lower price than the traditional 96-cell plate, which indicated the biochip is both convenient and feasible.Thus, the novel microfluidic chip-based multifunctional integrated system congregated the virtues of high throughput, rapid, sensitive, specific, cost-effective, and similar to the physical environment of the human body, which was especially suitable for the medicine efficacy-toxicity and compatibility evaluation.
