A Versatile and Open-Source Rapid LED Switching System for One-Photon Imaging and Photo-Activation

Arne Battefeld, Marko A. Popovic, Dirk van der Werf, Maarten H. P. Kole
Front. Cell. Neurosci.. 2019-01-17; 12:
DOI: 10.3389/fncel.2018.00530

PubMed
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https://www.frontiersin.org/articles/10.3389/fncel.2018.00530/full

Front Cell Neurosci. 2019 Jan 17;12:530. doi: 10.3389/fncel.2018.00530. eCollection 2018.

A Versatile and Open-Source Rapid LED Switching System for One-Photon Imaging and Photo-Activation.

Battefeld A1,2, Popovic MA1, van der Werf D3, Kole MHP1,4.

Abstract

Combining fluorescence and transmitted light sources for microscopy is an invaluable method in cellular neuroscience to probe the molecular and cellular mechanisms of cells. This approach enables the targeted recording from fluorescent reporter protein expressing neurons or glial cells in brain slices and fluorescence-assisted electrophysiological recordings from subcellular structures. However, the existing tools to mix multiple light sources in one-photon microscopy are limited. Here, we present the development of several microcontroller devices that provide temporal and intensity control of light emitting diodes (LEDs) for computer controlled microscopy illumination. We interfaced one microcontroller with μManager for rapid and dynamic overlay of transmitted and fluorescent images. Moreover, on the basis of this illumination system we implemented an electronic circuit to combine two pulsed LED light sources for fast (up to 1 kHz) ratiometric calcium (Ca2+) imaging. This microcontroller enabled the calibration of intracellular Ca2+ concentration and furthermore the combination of Ca2+ imaging with optogenetic activation. The devices are based on affordable components and open-source hardware and software. Integration into existing bright-field microscope systems will take ∼1 day. The microcontroller based LED imaging substantially advances conventional illumination methods by limiting light exposure and adding versatility and speed.
KEYWORDS:

Arduino; LED; Propeller; calcium imaging; high-speed imaging; microscopy; μManager

PMID:30705622
PMCID:PMC6344383
DOI:10.3389/fncel.2018.00530


Auteurs Bordeaux Neurocampus