LA JOLLA\u2014Deep learning is a potential tool for scientists to glean more detail from low-resolution images in microscopy, but it\u2019s 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\u2014by taking high-resolution images, and artificially degrading them.<\/p>\n
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. It could also help democratize microscopy, allowing scientists to capture high-resolution images even if they don\u2019t have access to powerful microscopes. The findings were published March 8, 2021, in the journal Natur Methoden<\/em><\/a>.<\/p>\n