![A neuron imaged with multiline orthogonal scanning temporal focusing (mosTF). Right: The same neuron imaged with line-scanning temporal focusing microscope (lineTF). Below are magnifications of the dotted areas. In the mosTF images dendritic spines are clearly visible in the magnified images, while they are obscured by noise in the lineTF image.](https://theinfosiast.com/wp-content/uploads/2024/06/Revolutionizing-Brain-Imaging.jpg)
Image courtesy of Yi Xue, et. al.
The human brain, a marvel of nature, is a complex network of neurons that communicate through synapses. Studying these intricate connections is crucial for understanding how our brain functions. However, imaging these synapses in the living brain has been a challenge due to the limitations of existing microscopy techniques. But now, scientists at MIT have developed a new technology that promises to revolutionize this field.
The new technology, called “multiline orthogonal scanning temporal focusing” (mosTF), is a microscopy system designed for fast, clear, and frequent imaging of the living brain. This system works by scanning brain tissue with lines of light in perpendicular directions. Like other live brain imaging systems that rely on two-photon microscopy, this scanning light “excites” photon emission from brain cells that have been engineered to fluoresce when stimulated.
The mosTF system has proven to be eight times faster than a two-photon scope that scans point by point. It also has a four-fold better signal-to-background ratio, a measure of the resulting image clarity, than a two-photon system that just scans in one direction. This significant improvement in speed and clarity is a game-changer for neuroscientists.
![Schematic of mosTF imaging system. (a) mosTF setup. Flip mirrors (M1-M3) are utilized to direct light along two alternative paths, thereby rotating the scanning orientation (indicated by the dashed box). Refer to the Methods section for detailed information about the setup. (b–e) mosTF reconstruction process. (b) The object to be imaged through scattering media. (c) mosTF captures each intermediate image at every scan position. The dashed lines indicate the locations of the four scanning lines. (d) The algorithm then sums scattered photons within the adjacent area (rs) back to the scanning line position. This process is repeated for all n intermediate images collected during scanning in both the vertical and horizontal directions. (e) The combination of reconstructed images from both directions results in the final image. (f) Measured PSF of mosTF (left) and the corresponding lateral and axial intensity profiles of the PSF (right top and bottom, respectively). Fluorescent nanoparticles of 200 nm size were used for this measurement. Scale bar, 1 µm.](https://theinfosiast.com/wp-content/uploads/2024/06/image-4.png)
The brain’s ability to learn comes from “plasticity,” where neurons constantly edit and remodel the tiny connections called synapses that they make with other neurons to form circuits. To study plasticity, neuroscientists seek to track it at high resolution across whole cells. However, plasticity doesn’t wait for slow microscopes to keep pace, and brain tissue is notorious for scattering light and making images fuzzy.
The mosTF system addresses these challenges effectively. Scanning a whole line of a sample is inherently faster than just scanning one point at a time. While this approach kicks up a lot of scattering, the mosTF system manages that scattering effectively. Some scope systems discard scattered photons as noise, but the mosTF system retains them, improving the clarity of the images.
In conclusion, the mosTF system developed by MIT scientists is a significant advancement in the field of neuroscience. It allows for faster, clearer, and more frequent imaging of the living brain, enabling scientists to study neural circuit connections and plasticity more effectively. This breakthrough could pave the way for new discoveries about how our brain functions and could have far-reaching implications in the study and treatment of neurological disorders.
- Source: MIT