/auto-raa-pub

Automated Reactive Accelerated Aging for Rapid In Vitro Evaluation of Neural Implants Performance

Primary LanguagePython

This repository is distributed as supplementary material for publication:

"Automated reactive accelerated aging for rapid in vitro evaluation of neural implant performance."
Matthew G. Street, Cristin G. Welle, and Pavel A. Takmakov

https://aip.scitation.org/doi/pdf/10.1063/1.5024686
open-access pre-publication:
https://www.biorxiv.org/content/early/2017/10/17/204099

Content:

code - Python script files to run on Raspberry Pi for control of the experiment
instructions - instructions on how to build automated RAA system with two reaction flasks
papers - publications related to aRAA

Disclaimer:

The views, opinions, and/or findings contained in this document are those of the authors and should not be interpreted as representing the official views or policies of Department of Health and Human Services or the U.S. Government. The mention of commercial products, their sources, or their use in connection with material reported herein is not to be construed as either actual or implied endorsement of such products by the Department of Health and Human Services.

The authors assume no responsibility whatsoever for use of the automated Reactive Accelerated Aging (aRAA) by other parties and make no guarantees, expressed or implied, about the quality, reliability, or any other characteristic of the system. Further, use of the aRAA in no way implies endorsement by the FDA or confers any advantage in regulatory decisions. Any use of the aRAA is to be cited as stipulated in the license agreement. In addition, any derivative work shall bear a notice that it is sourced from the aRAA, and any modified versions shall additionally bear the notice that they have been modified.