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New method could democratize deep learning-enhanced microscopy

March 8, 2021


Deep learning is a potential tool for scientists to glean more detail from low-resolution images in microscopy, but it’s often difficult to gather enough baseline data to train computers in the process. Now, a new method developed by scientists at the Salk Institute could make the technology more accessible — by taking high-resolution images, and artificially degrading them.

The new tool, which the researchers call a “crappifier,” could make it significantly easier for scientists to get detailed images of cells or cellular structures that have previously been difficult to observe because they require low-light conditions, such as mitochondria, which can divide when stressed by the lasers used to illuminate them.

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