Ghost Imaging, Computational Approach Speed Superresolution Microscopy

Scientists from the Chinese Academy of Sciences have developed a new imaging technique that produces nm-scale resolution using significantly fewer images than traditional nanoscopy techniques. The scientists used ghost imaging to enhance the imaging speed of their technique. The new approach could be useful for live cell imaging.

The technique is based on stochastic optical reconstruction microscopy (STORM), a wide-field microscopy method that uses fluorescent labels that switch between light-emitting (on) and dark (off) states. By acquiring hundreds or even thousands of images, each capturing the subset of fluorescent labels that are “on” at a given time, STORM allows the user to determine the location of each molecule and use this information to reconstruct a fluorescence image.

To speed up the STORM imaging process, the researchers turned to ghost imaging, a technique that forms a picture of an object by correlating a light pattern that interacts with the object with a reference pattern that does not. The researchers also used compressive imaging, a computational approach that enables image reconstruction with fewer exposures because it uses an algorithm to fill in the missing information.

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