The resolution is increased by 10 times!

In the history of modern science, the leaps of microscopy technology have contributed to the vigorous development of life sciences, materials and other fields

However, confocal microscopy is not without its shortcomings

Now, a new technology is expected to change the limitations of confocal microscopes and open up a new research situation

For the research team, to achieve a breakthrough in confocal microscopy, it needs to start with both hardware and software

In terms of hardware, the research team created a "three-view progressive scanning confocal microscope" that can scan the sample line-by-line from three directions

Compared with the traditional confocal microscope, the longitudinal resolution of the new microscope is greatly increased

Therefore, is there a way to further improve the three-dimensional resolution of the microscope while reducing the risk of photopoisoning?

The answer is to improve the software-artificial intelligence comes in handy

The research team uses deep learning algorithms, and they build a neural network that can learn from existing imaging results

Using this training method, the research team confirmed the imaging capabilities of this platform in more than 20 samples including living organisms

▲The imaging effect of the microscope on different tissues of mice (picture source: reference [1])

At present, the research team and other collaborators have used this system to complete some biological applications

Note: The original text has been deleted

Reference materials:

[1] Yicong Wu et al.

[2] Enhancing the workhorse: Artificial intelligence, hardware innovations boost confocal microscope's performance.