Presentation + Paper
23 February 2018 Imaging a seizure model in zebrafish with structured illumination light sheet microscopy
Yang Liu, Savannah Dale, Rebecca Ball, Ariel J. VanLeuven, Scott Baraban, Andrew Sornborger, James D. Lauderdale, Peter Kner
Author Affiliations +
Abstract
Zebrafish are a promising vertebrate model for elucidating how neural circuits generate behavior under normal and pathological conditions. The Baraban group first demonstrated that zebrafish larvae are valuable for investigating seizure events and can be used as a model for epilepsy in humans. Because of their small size and transparency, zebrafish embryos are ideal for imaging seizure activity using calcium indicators. Light-sheet microscopy is well suited to capturing neural activity in zebrafish because it is capable of optical sectioning, high frame rates, and low excitation intensities. We describe work in our lab to use light-sheet microscopy for high-speed long-time imaging of neural activity in wildtype and mutant zebrafish to better understand the connectivity and activity of inhibitory neural networks when GABAergic signaling is altered in vivo. We show that, with light-sheet microscopy, neural activity can be recorded at 23 frames per second in twocolors for over 10 minutes allowing us to capture rare seizure events in mutants. We have further implemented structured illumination to increase resolution and contrast in the vertical and axial directions during high-speed imaging at an effective frame rate of over 7 frames per second.
Conference Presentation
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yang Liu, Savannah Dale, Rebecca Ball, Ariel J. VanLeuven, Scott Baraban, Andrew Sornborger, James D. Lauderdale, and Peter Kner "Imaging a seizure model in zebrafish with structured illumination light sheet microscopy", Proc. SPIE 10499, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXV, 104991C (23 February 2018); https://doi.org/10.1117/12.2288326
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Microscopy

Objectives

Cameras

Brain

Imaging systems

Mirrors

Signal to noise ratio

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