Advancing neural interfaces: A framework for the fabrication and characterization of freestanding micro-nanodevices

Freestanding micro-nanodevices stand out as excellent candidates for the next generation of neural interfaces. Their wireless nature, coupled with their subcellular dimensions, promises to enable minimally invasive neuromodulation with high spatial resolution within three-dimensional tissues. Nevertheless, their practical implementation is hindered by technical challenges. Specifically, fabricating and harvesting freestanding devices with subcellular sizes proves exceedingly difficult, and characterizing their functionality in a representative freestanding configuration presents an even greater challenge. In this work, we present a comprehensive framework for fabricating, collecting, and characterizing freestanding micro-nanodevices to advance progress in neural interfaces. We developed three distinct micro-nanofabrication methods tailored for manufacturing freestanding micro-nanodevices with varying characteristics. These methods include a very large-scale integration process for manuf..., , # Data from: Advancing neural interfaces: A framework for the fabrication and characterization of freestanding micro-nanodevices

This dataset contains all files required to reproduce the results in the publication *\"Advancing neural interfaces: A framework for the fabrication and characterization of freestanding micro-nanodevices\".* It is organized into three folders:

* BLM: Contains experimental data, code, and output files related to bilayer lipid membrane (BLM) experiments.
* Cell_device_interface_model: Contains data, code, and output files related to cell-device interface modeling.
* Patch_clamp: Contains raw experimental data, code, and output files related to patch clamp experiments.

# BLM

Includes all raw and processed BLM data, along with the code used for analysis and the resulting output figures.

## Code

* Peak_analysis.m: Processes raw electrical recordings from photomodulation experiments on BLMs. This script extracts the peak amplitudes of photovoltages generated upo...,