Fast Volumetric Imaging of Seizures with Adaptive Optics Light Sheet Microscopy
Generally this is done using light sheet microscopy, which provides effectively a 2D ‘slice’ of the tissue in question, but to observe a brief event in a larger biological system you need to be able to rapidly change the layer and focus between the virtual layers. This is what [Bingxi Liu] et al. al did using adaptive optics with an electrically tunable lens (ETL) in order to capture seizures in the brain of zebrafishes. Their system can capture a volume of 499 × 499 × 150 μm3 at 4 volumes per second, which is large enough to fit optically transparent zebrafish larva into.
- ▪Generally this is done using light sheet microscopy, which provides effectively a 2D ‘slice’ of the tissue in question, but to observe a brief event in a larger biological system you need to be able to rapidly change the layer and focus bet
- ▪This is what [Bingxi Liu] et al. al did using adaptive optics with an electrically tunable lens (ETL) in order to capture seizures in the brain of zebrafishes.
- ▪Their system can capture a volume of 499 × 499 × 150 μm3 at 4 volumes per second, which is large enough to fit optically transparent zebrafish larva into.
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| Original publisher | Hackaday |
| Canonical URL | https://hackaday.com/2026/07/24/fast-volumetric-imaging-of-seizures-with-adaptive-optics-light-sheet-microscopy/ |
| Publication time | Sat, 25 Jul 2026 02:00:08 +0000 |
| Retrieval time | 2026-07-25T02:05:42.225Z |
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Fast Volumetric Imaging Of Seizures With Adaptive Optics Light Sheet Microscopy No comments by: Maya Posch July 24, 2026 Title: Copy Short Link: Copy Seizure in zebrafish larva imaged using AO setup. (Credit: Bingxi Liu et al., Biomedical Optics Express, 2026) Key to understanding something like epilepsy is to be able to record highly transient events in biological tissues. Generally this is done using light sheet microscopy, which provides effectively a 2D ‘slice’ of the tissue in question, but to observe a brief event in a larger biological system you need to be able to rapidly change the layer and focus between the virtual layers. This is what [Bingxi Liu] et al.
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