Organic electro-scattering antenna: Wireless and multisite probing of electrical potentials with high spatial resolution
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Monitoring electrical potentials with high recording site density and micrometer spatial resolution in liquid is critical in biosensing. Organic electronic materials have driven remarkable advances in the field due to their unique material properties, yet limitations in spatial resolution and recording density remain.
Here, we introduce organic electro-scattering antennas (OCEANs) for wireless, light-based probing of electrical signals with micrometer spatial resolution, potentially from thousands of sites. The technology relies on the unique dependence of poly(3,4-ethylenedioxythiophene):polystyrene sulfonate light scattering properties to its doping level. Electro-optic characteristics of individual antennas varying in diameters and operating voltages were systematically characterized in saline solution. Signal-to-noise ratios up to 48 were achieved in response to 100 mV stimuli, with 2.5 mV detection limits and 5 μm spatial resolution. OCEANs demonstrated milliseconds time constan..., , , # **Data from: Organic electro-scattering antenna: Wireless and multisite probing of electrical potentials with high spatial resolution**
[Access this dataset on Dryad](https://doi.org/10.5061/dryad.z08kprrq1)
This dataset contains all files required to reproduce the results in the publication *\"Organic electro-scattering antenna: wireless and multisite probing of electrical potentials with high spatial resolution.\"* It is organized into three sections:
* **Experiments**: Raw and processed data, analysis code, and output figures related to the experimental characterization of OCEAN.
* **Modeling**: Finite element model files, analysis code, and output figures related to the theoretical modeling of OCEAN.
* **Rendering**: Blender model of the antenna and rendered figures used for visualization.
The CSV file titled files_to_figures.csv (Data/files_to_figures.csv) provides a tabular summary of the files required to generate each figure, indicating their locations within the dataset and...
创建时间:
2024-12-18



