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New technique provides deep tissue high-resolution images 100 to 1,000 times faster than other techniques

The new system, identified as De-scattering with Excitation Patterning (or DEEP), overcomes previous challenges with deep tissue microscopy and may revolutionize imaging methodology.

The researchers present a new process using computational imaging to obtain high-resolution images at a rate 100 to 1,000 times faster than other state-of-the-art technologies that use complex algorithms and machine learning.

Because this has the potential to actually speed up [what you can take an image of along with how fast you can do it], scientists will be able to image fast processes they haven't been able to capture before, like what happens when a neuron res or how the signals move around in the brain because it's technically faster, you can image a larger volume of an area at one time, not just a small eld of view as you would with a slower imaging system.

First, point-scanning multiphoton microscopy provides imaging that penetrates deep into a specimen and captures high-quality images, but the process is extremely slow as the images are formed one single point at a time.

Contrastingly, the DEEP system allows for fast tissue penetration at a wide scale and produces high-resolution images by projecting a wide light into the subject, in a similar fashion as the temporal microscopy method, but the laser light is directed in a specific pattern based on a computational algorithm to reconstruct the scattered images.