Automated cell-targeted electrophysiology in vivo and non-invasive gamma frequency entrainment

Targeted patch clamp recording is a powerful method for characterizing visually identified cells in intact neural circuits, but it requires skill to perform. We found that a closed-loop real-time imaging strategy, which continuously compensates for cell movement while approaching the cell with a pipette tip, allows for the development of an algorithm amenable to automation. We built a robotic system that can implement this algorithm and validated that our system can automatically patch fluorophore-expressing neurons of multiple types in the living mouse cortex, with yields comparable to skilled human experimenters. By facilitating targeted patch clamp recordings in vivo, our robot may enable scalable characterization of identified cell types in intact neural circuits. Activities of individual neurons in neural circuits give rise to network oscillations, whose frequencies are closely related to specific brain states.

Name thesis:degree_name

Doctoral

Department dc:contributor.department

Harvard--MIT Program in Health Sciences and Technology

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2019

Author dc:creator

• Suk, Ho-Jun.

Advisor dc:contributor.advisor

• Ed Boyden.

• Harvard--MIT Program in Health Sciences and Technology.

Statement dc:rights

• MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/122429

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/122429