Literature DB >> 36271159

Customizable, wireless and implantable neural probe design and fabrication via 3D printing.

Kyle E Parker1,2,3,4, Juhyun Lee5, Jenny R Kim1,2,3,4, Chinatsu Kawakami6, Choong Yeon Kim5, Raza Qazi5, Kyung-In Jang7, Jae-Woong Jeong8,9, Jordan G McCall10,11,12,13.   

Abstract

This Protocol Extension describes the low-cost production of rapidly customizable optical neural probes for in vivo optogenetics. We detail the use of a 3D printer to fabricate minimally invasive microscale inorganic light-emitting-diode-based neural probes that can control neural circuit activity in freely behaving animals, thus extending the scope of two previously published protocols describing the fabrication and implementation of optoelectronic devices for studying intact neural systems. The 3D-printing fabrication process does not require extensive training and eliminates the need for expensive materials, specialized cleanroom facilities and time-consuming microfabrication techniques typical of conventional manufacturing processes. As a result, the design of the probes can be quickly optimized, on the basis of experimental need, reducing the cost and turnaround for customization. For example, 3D-printed probes can be customized to target multiple brain regions or scaled up for use in large animal models. This protocol comprises three procedures: (1) probe fabrication, (2) wireless module preparation and (3) implantation for in vivo assays. For experienced researchers, neural probe and wireless module fabrication requires ~2 d, while implantation should take 30-60 min per animal. Time required for behavioral assays will vary depending on the experimental design and should include at least 5 d of animal handling before implantation of the probe, to familiarize each animal to their handler, thus reducing handling stress that may influence the result of the behavioral assays. The implementation of customized probes improves the flexibility in optogenetic experimental design and increases access to wireless probes for in vivo optogenetic research.
© 2022. Springer Nature Limited.

Entities:  

Year:  2022        PMID: 36271159     DOI: 10.1038/s41596-022-00758-8

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   17.021


  56 in total

Review 1.  Optogenetics: 10 years after ChR2 in neurons--views from the community.

Authors:  Antoine Adamantidis; Silvia Arber; Jaideep S Bains; Ernst Bamberg; Antonello Bonci; György Buzsáki; Jessica A Cardin; Rui M Costa; Yang Dan; Yukiko Goda; Ann M Graybiel; Michael Häusser; Peter Hegemann; John R Huguenard; Thomas R Insel; Patricia H Janak; Daniel Johnston; Sheena A Josselyn; Christof Koch; Anatol C Kreitzer; Christian Lüscher; Robert C Malenka; Gero Miesenböck; Georg Nagel; Botond Roska; Mark J Schnitzer; Krishna V Shenoy; Ivan Soltesz; Scott M Sternson; Richard W Tsien; Roger Y Tsien; Gina G Turrigiano; Kay M Tye; Rachel I Wilson
Journal:  Nat Neurosci       Date:  2015-09       Impact factor: 24.884

2.  Fabrication and application of flexible, multimodal light-emitting devices for wireless optogenetics.

Authors:  Jordan G McCall; Tae-Il Kim; Gunchul Shin; Michael R Bruchas; John A Rogers; Xian Huang; Yei Hwan Jung; Ream Al-Hasani; Fiorenzo G Omenetto
Journal:  Nat Protoc       Date:  2013-11-07       Impact factor: 13.491

3.  Rapidly-customizable, scalable 3D-printed wireless optogenetic probes for versatile applications in neuroscience.

Authors:  Juhyun Lee; Kyle E Parker; Chinatsu Kawakami; Jenny R Kim; Raza Qazi; Junwoo Yea; Shun Zhang; Choong Yeon Kim; John Bilbily; Jianliang Xiao; Kyung-In Jang; Jordan G McCall; Jae-Woong Jeong
Journal:  Adv Funct Mater       Date:  2020-09-18       Impact factor: 18.808

4.  Preparation and implementation of optofluidic neural probes for in vivo wireless pharmacology and optogenetics.

Authors:  Jordan G McCall; Raza Qazi; Gunchul Shin; Shuo Li; Muhammad Hamza Ikram; Kyung-In Jang; Yuhao Liu; Ream Al-Hasani; Michael R Bruchas; Jae-Woong Jeong; John A Rogers
Journal:  Nat Protoc       Date:  2017-01-05       Impact factor: 13.491

5.  Wireless Optofluidic Systems for Programmable In Vivo Pharmacology and Optogenetics.

Authors:  Jae-Woong Jeong; Jordan G McCall; Gunchul Shin; Yihui Zhang; Ream Al-Hasani; Minku Kim; Shuo Li; Joo Yong Sim; Kyung-In Jang; Yan Shi; Daniel Y Hong; Yuhao Liu; Gavin P Schmitz; Li Xia; Zhubin He; Paul Gamble; Wilson Z Ray; Yonggang Huang; Michael R Bruchas; John A Rogers
Journal:  Cell       Date:  2015-07-16       Impact factor: 41.582

Review 6.  From circuits to behaviour in the amygdala.

Authors:  Patricia H Janak; Kay M Tye
Journal:  Nature       Date:  2015-01-15       Impact factor: 49.962

7.  Injectable, cellular-scale optoelectronics with applications for wireless optogenetics.

Authors:  Tae-il Kim; Jordan G McCall; Yei Hwan Jung; Xian Huang; Edward R Siuda; Yuhang Li; Jizhou Song; Young Min Song; Hsuan An Pao; Rak-Hwan Kim; Chaofeng Lu; Sung Dan Lee; Il-Sun Song; Gunchul Shin; Ream Al-Hasani; Stanley Kim; Meng Peun Tan; Yonggang Huang; Fiorenzo G Omenetto; John A Rogers; Michael R Bruchas
Journal:  Science       Date:  2013-04-12       Impact factor: 47.728

8.  An open-hardware platform for optogenetics and photobiology.

Authors:  Karl P Gerhardt; Evan J Olson; Sebastian M Castillo-Hair; Lucas A Hartsough; Brian P Landry; Felix Ekness; Rayka Yokoo; Eric J Gomez; Prabha Ramakrishnan; Junghae Suh; David F Savage; Jeffrey J Tabor
Journal:  Sci Rep       Date:  2016-11-02       Impact factor: 4.379

9.  Mechanically transformative electronics, sensors, and implantable devices.

Authors:  Sang-Hyuk Byun; Joo Yong Sim; Zhanan Zhou; Juhyun Lee; Raza Qazi; Marie C Walicki; Kyle E Parker; Matthew P Haney; Su Hwan Choi; Ahnsei Shon; Graydon B Gereau; John Bilbily; Shuo Li; Yuhao Liu; Woon-Hong Yeo; Jordan G McCall; Jianliang Xiao; Jae-Woong Jeong
Journal:  Sci Adv       Date:  2019-11-01       Impact factor: 14.136

Review 10.  Optogenetics: 10 years of microbial opsins in neuroscience.

Authors:  Karl Deisseroth
Journal:  Nat Neurosci       Date:  2015-09       Impact factor: 24.884

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