journal article·2019

Development of an image biosensor based on an optogenetically engineered cell for visual prostheses

Gongxin Li, Feifei Wang, Wenguang Yang, Jia Yang, Yuechao Wang, Wenxue Wang, Lianqing Liu

Nanoscale· Volume 11· Issue 28
Publisher page

Abstract

Visual prostheses provide blind patients with artificial vision via electrical stimulation of surviving visual cells resulting in partial restoration of vision in many patients. However, high-resolution visual perception, long-term biocompatibility and safety remain the significant challenges of existing visual prostheses. Here, we present a novel method to develop a new visual prosthesis using living cells as integrated electronics and implantable microelectrodes. The living cells modified with channelrhodopsin-2 showed excellent light-sensitive properties and encoded image information with cellular deformations triggered by light stimulation. The photoresponsive properties of the cells were determined using a single pixel imaging system, which indicated that the cells can act as a good light-sensitive biosensor. Additionally, the imaging feasibility of the cells was further validated through successful and clear imaging of several object scenes using the same system. This work represents a step toward the design and use of living cells as an image biosensor for the development of a new generation of high-resolution visual prostheses.
Source: openalex_inverted_index · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Neuroscience and Neural Engineering · Photoreceptor and optogenetics research · Advanced Memory and Neural Computing

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

State Key Laboratory of Robotics

Shenyang Institute of Automation

Chinese Academy of Sciences

Shenyang 110016

China

Department of Chemistry

Stanford University

Stanford

USA

School of Electromechanical and Automotive Engineering

Yantai University

Yantai 264005

Funding

National Natural Science Foundation of China · Natural Science Foundation of Jiangsu Province · Chinese Academy of Sciences · National Basic Research Program of China

References (33)

Show source-provided references
1. E. Fernandez and R.Normann , in Introduction to Visual Prostheses , ed. H. Kolb , E. Fernandez and R. Nelson , University of Utah Health Sciences Center , Salt Lake City , 2016
2. Weiland · Proc. IEEE · 2008 · 96 · 107610.1109/JPROC.2008.922589 ↗
3. Weiland · Annu. Rev. Biomed. Eng. · 2005 · 7 · 36110.1146/annurev.bioeng.7.060804.100435 ↗
4. Picaud · C. R. Biol. · 2014 · 337 · 21410.1016/j.crvi.2014.01.001 ↗
5. Bareket · J. Neural. Eng. · 2017 · 14 · 04500210.1088/1741-2552/aa6cbb ↗
6. Humayun · Ophthalmology · 2012 · 119 · 77910.1016/j.ophtha.2011.09.028 ↗
7. Weiland · IEEE Trans. Biomed. Eng. · 2014 · 61 · 141210.1109/TBME.2014.2314733 ↗
8. da Cruz · Br. J. Ophthalmol. · 2013 · 97 · 63210.1136/bjophthalmol-2012-301525 ↗
9. Humayun · Vision Res. · 2003 · 43 · 257310.1016/S0042-6989(03)00457-7 ↗
10. Zrenner · Proc. Biol. Sci. · 2011 · 278 · 148910.1098/rspb.2010.1747 ↗
11. Roessler · Invest. Ophthalmol. Visual Sci. · 2009 · 50 · 300310.1167/iovs.08-2752 ↗
12. Stingl · Proc. Biol. Sci. · 2013 · 280 · 2013007710.1098/rspb.2013.0077 ↗
13. Rizzo · Graef. Arch. Clin. Exp. · 2015 · 253 · 32310.1007/s00417-014-2822-0 ↗
14. Stingl · Vision Res. · 2015 · 111 · 14910.1016/j.visres.2015.03.001 ↗
15. McConnell · J. Neural. Eng. · 2009 · 6 · 05600310.1088/1741-2560/6/5/056003 ↗
16. Javaheri · Ann. Acad. Med. · 2006 · 35 · 137
17. Li · Nanoscale · 2018 · 10 · 2104610.1039/C8NR05014G ↗
18. Deisseroth · Nat. Neurosci. · 2015 · 18 · 121310.1038/nn.4091 ↗
19. Deisseroth · Nat. Methods · 2011 · 8 · 2610.1038/nmeth.f.324 ↗
20. Boyden · Nat. Neurosci. · 2005 · 8 · 126310.1038/nn1525 ↗
21. Zhang · Cell · 2011 · 147 · 144610.1016/j.cell.2011.12.004 ↗
22. Bruegmann · Nat. Commun. · 2015 · 6 · 715310.1038/ncomms8153 ↗
23. Nagel · Proc. Natl. Acad. Sci. U. S. A. · 2003 · 100 · 1394010.1073/pnas.1936192100 ↗
24. Pravincumar · PLoS One · 2012 · 7 · e4393810.1371/journal.pone.0043938 ↗
25. Hecht · Soft Matter · 2015 · 11 · 458410.1039/C4SM02718C ↗
26. Duarte · IEEE Signal Proc. Mag. · 2008 · 25 · 8310.1109/MSP.2007.914730 ↗
27. Li · Opt. Express · 2016 · 24 · 40010.1364/OE.24.000400 ↗
28. Baraniuk · IEEE Signal Proc. Mag. · 2007 · 24 · 11810.1109/MSP.2007.4286571 ↗
29. Li · Int. J. Optomechatroni. · 2014 · 8 · 21810.1080/15599612.2014.916017 ↗
30. Candes · IEEE Signal Proc. Mag. · 2008 · 25 · 2110.1109/MSP.2007.914731 ↗
31. Li · IEEE Trans. Nanotechnol. · 2015 · 14 · 83710.1109/TNANO.2015.2449871 ↗
32. Candes · CR. Math. · 2008 · 346 · 589
33. Li · Remote Sens. · 2017 · 9 · 61910.3390/rs9060619 ↗