MIT scientists scanned a larval zebrafish brain 200 times per second; ultraviolet light triggered electrical activity that spread across its brain
A groundbreaking microscope developed by MIT enables ultra-fast imaging of neuronal activity in zebrafish brains, achieving scans at an impressive 200 frames per second. Although only 25% of neurons have shown responses thus far, this represents a...

Dorsal view of a young zebrafish brain. Image credits: Wikimedia Commons
Why neuroscience has been stuck watching reruns, not live TV
Most brain-imaging techniques rely on calcium imaging, which tracks calcium ions entering neurons after they fire. The problem: calcium signals unfold over seconds or minutes, far too slowly to capture how neurons actually compute. “It’s very slow: it takes seconds or minutes to get information with calcium imaging,” study co-author Jie Zhang told MIT News. Because individual neural computations happen on a millisecond timescale, that speed simply wasn’t enough to see them.

How it works
The team, led by Ed Boyden and reported in a separate 2026 paper titled “Voltage imaging of neurons distributed across entire brains of larval zebrafish,” published in Nature Methods, improved a type of microscope known as a light sheet microscope. These use a thin sheet of laser light to scan through the sample, creating 3D images. Faster cameras and a technique called remote refocusing let the system scan much more quickly than earlier designs.
The neurons within the fish were engineered for pan-neuronal expression of a genetically encoded voltage indicator called Positron2-Kv, which fluoresces when a neuron fires. Such indicators have long been considered a “holy grail” of neuroscience, per a 2019 review titled “Genetic voltage indicators,” published in the journal BMC Biology, for many years these have been considered the "holy grail" of neuroscience.

Toward mapping whole brains, not just zebrafish
You won’t be getting a photo of your neurons firing anytime soon. Zebrafish have small brains that are transparent and easy to manipulate using genetics. Human and mouse brains are not so easy to do this with. Whilst they are working on expanding their research to mice, the biggest benefit of this research is that we can finally see how neurons work together in a network. This reminds us that neuroscience is still catching up with the basics in this age of brain optimization.
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