An open-source control system for in vivo fluorescence measurements from deep-brain structures.
An open-source control system for in vivo fluorescence measurements from deep-brain structures.
复制标题
用于来自深部脑结构的体内荧光测量的开源控制系统。
DOI:
10.1016/j.jneumeth.2018.10.022
复制
发表时间:
2019
影响因子:
3
通讯作者:
Kreitzer,AnatolC
中科院分区:
文献类型:
--
作者:
Owen,ScottF;Kreitzer,AnatolC
BackgroundIntracranial photometry through chronically implanted optical fibers is a widely adopted technique for measuring signals from fluorescent probes in deep-brain structures. The recent proliferation of bright, photo-stable, and specific genetically encoded fluorescent reporters for calcium and for other neuromodulators has greatly increased the utility and popularity of this technique.New methodHere we describe an open-source, cost-effective, microcontroller-based solution for controlling optical components in an intracranial photometry system and processing the resulting signal.ResultsWe show proof-of-principle that this system supports high quality intracranial photometry recordings from dorsal striatum in freely moving mice. A single system supports simultaneous fluorescence measurements in two independent color channels, but multiple systems can be integrated together if additional fluorescence channels are required. This system is designed to work in combination with either commercially available or custom-built optical components. Parts can be purchased for less than one tenth the cost of commercially available alternatives and complete assembly takes less than one day for an inexperienced user.Comparison with existing method(s)Currently available hardware draws on a variety of commercial, custom-built, or hybrid elements for both optical and electronic components. Many of these hardware systems are either specialized and inflexible, or over-engineered and expensive.ConclusionsThis open-source system increases experimental flexibility while reducing cost relative to current commercially available components. All software and firmware are open-source and customizable, affording a degree of experimental flexibility that is not available in current commercial systems.