PUBLICATION
An arbitrary-spectrum spatial visual stimulator for vision research
- Authors
- Franke, K., Maia Chagas, A., Zhao, Z., Zimmermann, M.J., Bartel, P., Qiu, Y., Szatko, K.P., Baden, T., Euler, T.
- ID
- ZDB-PUB-190924-6
- Date
- 2019
- Source
- eLIFE 8: (Journal)
- Registered Authors
- Keywords
- mouse, neuroscience, zebrafish
- MeSH Terms
-
- Animals
- Mice
- Photic Stimulation/instrumentation*
- Photic Stimulation/methods*
- Retina/physiology*
- Retina/radiation effects*
- Vision, Ocular*
- Zebrafish
- PubMed
- 31545172 Full text @ Elife
Citation
Franke, K., Maia Chagas, A., Zhao, Z., Zimmermann, M.J., Bartel, P., Qiu, Y., Szatko, K.P., Baden, T., Euler, T. (2019) An arbitrary-spectrum spatial visual stimulator for vision research. eLIFE. 8:.
Abstract
Visual neuroscientists require accurate control of visual stimulation. However, few stimulator solutions simultaneously offer high spatio-temporal resolution and free control over the spectra of the light sources, because they rely on off-the-shelf technology developed for human trichromatic vision. Importantly, consumer displays fail to drive UV-shifted short wavelength-sensitive photoreceptors, which strongly contribute to visual behaviour in many animals, including mice, zebrafish and fruit flies. Moreover, many non-mammalian species feature more than three spectral photoreceptor types. Here, we present a flexible, spatial visual stimulator with up to 6 arbitrary spectrum chromatic channels. It combines a standard digital light processing engine with open source hard- and software that can be easily adapted to the experimentalist's needs. We demonstrate the capability of this general visual stimulator experimentally in the in vitro mouse retinal whole-mount and the in vivo zebrafish. With this work, we intend to start a community effort of sharing and developing a common stimulator design for vision research.
Genes / Markers
Expression
Phenotype
Mutations / Transgenics
Human Disease / Model
Sequence Targeting Reagents
Fish
Orthology
Engineered Foreign Genes
Mapping