Cargando…
Reinforcement Learning for Dynamic Microfluidic Control
[Image: see text] Recent years have witnessed an explosion in the application of microfluidic techniques to a wide variety of problems in the chemical and biological sciences. Despite the many considerable advantages that microfluidic systems bring to experimental science, microfluidic platforms oft...
Autores principales: | Dressler, Oliver J., Howes, Philip D., Choo, Jaebum, deMello, Andrew J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2018
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6644574/ https://www.ncbi.nlm.nih.gov/pubmed/31459137 http://dx.doi.org/10.1021/acsomega.8b01485 |
Ejemplares similares
-
From single-molecule detection to next-generation sequencing: microfluidic droplets for high-throughput nucleic acid analysis
por: Ding, Yun, et al.
Publicado: (2017) -
High-throughput single-cell antibody secretion quantification and enrichment using droplet microfluidics-based FRET assay
por: Rutkauskaite, Justina, et al.
Publicado: (2022) -
An amplification-free ultra-sensitive electrochemical CRISPR/Cas biosensor for drug-resistant bacteria detection
por: Suea-Ngam, Akkapol, et al.
Publicado: (2021) -
Microfluidic-based imaging of complete Caenorhabditis elegans larval development
por: Berger, Simon, et al.
Publicado: (2021) -
Microfluidic-assisted fiber production: Potentials, limitations, and prospects
por: Abrishamkar, Afshin, et al.
Publicado: (2022)