Injectable, Cellular-Scale Optoelectronics with Applications for Wireless Optogenetics

By Tae‐il Kim, J. McCall, Yei Hwan Jung, Xian Huang, E. Siuda, Yuhang Li, Jizhou Song, Y. Song, Hsuan An Pao, Rak-Hwan Kim and 11 more. Science, 2013

1,108 citations recorded by the source corpus.

The Smaller, the Better New semiconductor device technology enables injection of light-emitting diodes, silicon devices, actuators, and sensors at precisely controlled locations within biological tissues, such as the brain. Kim et al. (p. 211) show how wireless control of animal models using these technologies and the techniques of optogenetics provide new insights into basic behavioral neuroscience. Miniaturized and implantable light-emitting diodes offer precise and flexible control of neurons, when used in combination with optogenetics. Successful integration of advanced semiconductor devices with biological systems will accelerate basic scientific discoveries and their translation into clinical technologies. In neuroscience generally, and in optogenetics in particular, the ability to insert light sources, detectors, sensors, and other components into precise locations of the deep brain yields versatile and important capabilities. Here, we introduce an injectable class of cellular-scale optoelectronics that offers such features, with examples of unmatched operational modes in optogenetics, including completely wireless and programmed complex behavioral control over freely moving animals. The ability of these ultrathin, mechanically compliant, biocompatible devices to afford minimally invasive operation in the soft tissues of the mammalian brain foreshadow applications in other organ systems, with potential for broad utility in biomedical science and engineering.

Subfields: Biomedical Engineering, Cellular and Molecular Neuroscience

View Paper: https://www.semanticscholar.org/paper/cea46a2c8c7b7321a1609a47a8abd551db16ca03

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In Biomedical Engineering

  1. John A. Rogers
  2. Yonggang Huang
  3. Ki Jun Yu
  4. Zheng Yan
  5. Mengdi Han
  6. Guosong Hong
  7. Zhigang Suo
  8. György Buzsáki

In Cellular and Molecular Neuroscience

  1. György Buzsáki
  2. S. Tonegawa
  3. Loren M. Frank
  4. Mattias P. Karlsson
  5. Karl Deisseroth
  6. Hannah R. Joo
  7. Logan Grosenick
  8. James H. Marshel

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