In the past two decades,the biological and medical fields have seen great advances in the development of biosensors and bioehips capable of characterizing and quantifying biomolecules.This lecture is meant to discuss ...In the past two decades,the biological and medical fields have seen great advances in the development of biosensors and bioehips capable of characterizing and quantifying biomolecules.This lecture is meant to discuss the development and applications of advanced electroanalysis,biophotonics,nanotechnology,MEMS- based biosensors and biochips for biomedical diagnostics and physical performances of athlete.展开更多
A novel maskless technique, self-driving micro-fluid porous type printing （SMPTP）, was reported to in situ synthesize oligonucleotide arrays on glass slide, which has the merits of low cost, high quality and simple ...A novel maskless technique, self-driving micro-fluid porous type printing （SMPTP）, was reported to in situ synthesize oligonucleotide arrays on glass slide, which has the merits of low cost, high quality and simple craft. In SMPTP for fabricating gene- chips, porous fiber tubes with a number of nanometric or micron channels functioned as ＂active letters＂ and were assembled in designed patterns, which are identical to the distribution of monomers in each layer of the array, and four patterns were needed for each layer. By means of capillarity, the synthesis solution was automatically taken into porous tubes assembled in a printing plate and reached the surface. An oligonucleotide array of 160 features with four different 15-mer probes was in situ synthesized using this technique. The four specific oligonucleotide probes, including the matched and the mismatched by the fluorescent target sequence, gave obviously different hybridization fluorescent signals.展开更多
A device,that is used for biomedical operation or safety-critical applications like point-of-care health asssment,massive parallel DNA analysis,automated drug discovery,air-quality monitoring and food-safety testing,m...A device,that is used for biomedical operation or safety-critical applications like point-of-care health asssment,massive parallel DNA analysis,automated drug discovery,air-quality monitoring and food-safety testing,must have the attributes like relia bility,dependability and correctness.As the biochips are used for these purposes;therefore,these devices must be fault free all the time.Naturally before usi ng these chips,they must be well tested.We are proposing a novel technique that can detect mutiple fults,locate the fault positions within the biochip,as well as calculate the traversal time if the biochip is fault free.The proposed technique also highlights a new idea how to select the appropriate base node or pseudo source(start electrode).The main idea of the proposed technique is to form multiple loops with the neighboring electrode arrays and then test each loop by traversing test droplet to check whether there is any fault.If a fault is detected then the propoed technique also locates it by backtracking the test droplet.In case,no fault is detected,the biochip is fault free then the proposed technique also calculates the time to traverse the chip.The result suggests that the proposed technique is eficient and shows significant improvement to ca lculate fault-free biochip traversal time over existing method.展开更多
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
Biochip is essentially a bio-microarray device that can perform hundreds or thousands of simultaneous biochemical reactions.[1, 2] It offers the researchers a new way for large-scale genomic, proteomic and functional ...Biochip is essentially a bio-microarray device that can perform hundreds or thousands of simultaneous biochemical reactions.[1, 2] It offers the researchers a new way for large-scale genomic, proteomic and functional genomic analyses. The biochips also enable people to quickly screen large numbers of biological analyses for many different purposes, from disease diagnosis to detection of bioterrorism chemical agents.[3]展开更多
文摘In the past two decades,the biological and medical fields have seen great advances in the development of biosensors and bioehips capable of characterizing and quantifying biomolecules.This lecture is meant to discuss the development and applications of advanced electroanalysis,biophotonics,nanotechnology,MEMS- based biosensors and biochips for biomedical diagnostics and physical performances of athlete.
文摘A novel maskless technique, self-driving micro-fluid porous type printing （SMPTP）, was reported to in situ synthesize oligonucleotide arrays on glass slide, which has the merits of low cost, high quality and simple craft. In SMPTP for fabricating gene- chips, porous fiber tubes with a number of nanometric or micron channels functioned as ＂active letters＂ and were assembled in designed patterns, which are identical to the distribution of monomers in each layer of the array, and four patterns were needed for each layer. By means of capillarity, the synthesis solution was automatically taken into porous tubes assembled in a printing plate and reached the surface. An oligonucleotide array of 160 features with four different 15-mer probes was in situ synthesized using this technique. The four specific oligonucleotide probes, including the matched and the mismatched by the fluorescent target sequence, gave obviously different hybridization fluorescent signals.
文摘A device,that is used for biomedical operation or safety-critical applications like point-of-care health asssment,massive parallel DNA analysis,automated drug discovery,air-quality monitoring and food-safety testing,must have the attributes like relia bility,dependability and correctness.As the biochips are used for these purposes;therefore,these devices must be fault free all the time.Naturally before usi ng these chips,they must be well tested.We are proposing a novel technique that can detect mutiple fults,locate the fault positions within the biochip,as well as calculate the traversal time if the biochip is fault free.The proposed technique also highlights a new idea how to select the appropriate base node or pseudo source(start electrode).The main idea of the proposed technique is to form multiple loops with the neighboring electrode arrays and then test each loop by traversing test droplet to check whether there is any fault.If a fault is detected then the propoed technique also locates it by backtracking the test droplet.In case,no fault is detected,the biochip is fault free then the proposed technique also calculates the time to traverse the chip.The result suggests that the proposed technique is eficient and shows significant improvement to ca lculate fault-free biochip traversal time over existing method.
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.
文摘Biochip is essentially a bio-microarray device that can perform hundreds or thousands of simultaneous biochemical reactions.[1, 2] It offers the researchers a new way for large-scale genomic, proteomic and functional genomic analyses. The biochips also enable people to quickly screen large numbers of biological analyses for many different purposes, from disease diagnosis to detection of bioterrorism chemical agents.[3]
