(Keynote) New Microfluidic Platforms for Medical Screening and Diagnostics
Notice bibliographique
Résumé
I. Introduction The field of microfluidics continues to show promise for applications in medical screening and diagnostics, and the study of human health and disease. Microfluidics has the potential to miniaturize instrumentation usually limited to the laboratory table top, offering the possibility of highly portable or wearable instruments for medical screening and diagnostics including the monitoring of biomarkers in real time. Microfluidics also offers unique devices and methods that enable scientists to study health and disease in new ways, from studying individual and monolayers of biological cells to mimicking organs on a chip. In order to fully develop these applications, new microfluidic platforms are required that incorporate the results of ongoing research in fields such as materials, biology, microfabrication, electronics, and computer engineering. This presentation discusses several platforms for the development of microfluidic systems for applications in biomedicine and biology. These platforms employ multiple recent advances in nanocomposite polymers, polymer microfabrication, printed circuit board technology, reconfigurable systems, and flexible electronics. These platforms are employed toward the development of new microfluidic instruments, including a reconfigurable microfluidic diagnostic unit, inexpensive and flexible biomedical screening devices, and biological cell research platforms. II. Example Platforms A. Reconfigurable Microfluidic Platform There is a growing need for instruments that perform fast, accurate, and inexpensive biological sample manipulation and processing with high-throughput. Microfluidics offers great possibilities for small, portable systems to perform fast manipulation and sorting of large numbers of samples, as well as multiplexed analysis of a single sample. Successful microfluidic-based devices exist, but their portability and throughput has been limited as they either require separate microfluidic channels for each test, which translates to a large array of permanently configured channels with a large footprint; require large off-chip support devices; or are based on other technologies that have relatively strict requirements for fluid sample manipulation and sample transfer between devices. We present on-going work to develop an instrument to address these problems of simultaneous high-throughput and portability. This instrument, a collaboration between microfluidics and computer engineering labs at Simon Fraser University, offers a new approach that is accomplished through the merging of electronically controlled functional magnetic materials for microfluidics with state-of-the-art field programmable technology. The instrument employs a compact, reconfigurable, microfluidics platform that is a combination of an array of small, individually-programmable, magnetic polymer valves [1] to address microfluidic channels that connect chambers containing sensors [2], heaters [3], mixers [4], etc., and a field programmable technology control that allows the highly portable instrument to configure itself “on-the-fly” for analysis of multiple samples using multiple tests. We present the reconfigurable microfluidics unit paradigm, and discuss technologies and techniques taken from the fields of composite materials and polymer microfabrication to develop the hardware for the reconfigurable microfluidic platform. B. Cost-Effective PCB-Based Platforms Printed Circuit Board (PCB) technology is a well understood and well utilized platform for electronics. We present a new PCB-based platform for microfluidic biomedical and biological testing. The standardized platform features integrated functional units, three-dimensional (3D) configurations, convenient device-instrumentation interconnections, and industry-compatible precision manufacturing using a custom three-metal fabrication process. PCB technology is demonstrated to not only form an integrated platform but is also utilized in the fabrication of functional elements for biosensing and bioprocessing devices and systems, such as reconfigurable microfluidic systems for biosample analysis. Example elements include a chemistry-based enzyme assay [2], and a molecule-based quantitative polymerase chain reaction (qPCR) screening device [3]. C. Flexible Microfluidic Platforms We present our most recent work in the development of microfluidic instruments of flexible substrates. We have previously presented work on flexible microfluidic platforms containing multiple layers of interconnected microfluidic channels on flexible substrates [5, 6], as well as conductive and magnetic functional polymers for flexible sensor [7] and actuator devices [1, 2, 8]. We present now the concept of integrating these technologies towards development of flexible microfluidic instrumentation for biological cell research [9] and wearable biomedical monitors. References M. Rahbar, et. al., J Micromech Microeng 26(5), 055012 (2016). H.-Y. Tseng, et. al., Measurement 73:158-161 (2015). H.-Y. Tseng, et. al. Sensors Actuators B, 204:459-466 (2014). M. Rahbar, et. al., J Micromech Microeng, 24(2):025003 (2014). D. Chung & B.L. Gray, J Micromech Microeng, 27(11), (2017). 6. Patel, et. al., J Micromech Microeng 23(6):065029 (2013). D. Chung, et. al., J Electrochemical Society 161(2):B3071-76 (2014). M. Rahbar & B.L. Gray, IEEE 17th International Conference on Nanotechnology (IEEE-NANO), Pittsburgh, (July 2017). B.L. Gray, et. al., IEEE 14th International Conference on Nanotechnology (IEEE-NANO), Toronto (August 2014), 986-990.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,003 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,118 | 0,043 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».