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Machine learning–based inverse design for electrochemically controlled microscopic gradients of O(2) and H(2)O(2)
A fundamental understanding of extracellular microenvironments of O(2) and reactive oxygen species (ROS) such as H(2)O(2), ubiquitous in microbiology, demands high-throughput methods of mimicking, controlling, and perturbing gradients of O(2) and H(2)O(2) at microscopic scale with high spatiotempora...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
National Academy of Sciences
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371721/ https://www.ncbi.nlm.nih.gov/pubmed/35914135 http://dx.doi.org/10.1073/pnas.2206321119 |