Innovation in Microscopy Promises Glowing Prize for Researchers

Innovation in Microscopy Promises Glowing Prize for Researchers

A team of researchers from UCLA have found a new technique to expand the capabilities of fluorescence microscopy. The new technique will enable scientists to identify living and tissues with a glowing mechanism with the help of 3D imaging. The new techniques uses dyes which glow under special lighting and turn two-dimensional images into stacks of virtual three-dimensional slices.

The study published in Nature Methods can be a new lease of life for several researchers in life sciences. It will aid the study of living organism with improved Deep-Z framework. The newly coined framework can fix errors in aberration of images. Additionally, it can also improve the quality of images obtained from conventional microscopes to shed 3D light on the new ones.

According to Aydodan Ozcan, the senior author of the study, this is a powerful method as it takes the best of new technologies like deep learning. The new 3D imaging will not only enable study of live specimen, but also do it with utmost care. Conventional technologies exposed organisms to potentially toxic levels of light. However, the new one promises to adjust temperatures to raise the bar for researchers.

A New Path for Breakthroughs

Overall, the new technique promises to provide scientists with a breakthrough mechanism in many ways. This includes tools for 3D imaging which is really fast, simple, and really cost-effective. Additionally, data from previous images can also be studied. Moreover, with the help of this new research, scientists can also gain access to complicated and expensive equipment.

Ozcan and his colleagues at UCLA previously developed techniques to render 2D images in super-resolutions. This work promises an upgrade with the help of deep learning. The new method relied on AI’s ability to train a neural network, and inspirations from human brain. The new method relief on extensive testing using conventional microscopes and achieving a high-level of enhancements in 3D imaging.

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