New math method sharpens X-ray images at nanoscale
Researchers from Lund University and international partners developed a mathematical technique to improve three-dimensional X-ray imaging resolution down to twenty nanometers.
Improved resolution for tiny structures
The new approach produces significantly higher-quality images than previously possible using standard X-ray nanotomography. Image resolution improved by around threefold using this optimized mathematical reconstruction method. Very fine structures such as synapses and mitochondria became visible in three dimensions. This capability allows scientists to study individual details within the body at the cellular level.
Mathematics solves data extraction limits
Marcus Carlsson from Lund University led the mathematical and algorithmic aspects of this research project. He stated that limitations exist not only in X-ray optics but also in reconstruction mathematics. The team developed an optimization approach underlying the refined imaging method published in Optica. Large amounts of data generated during examinations require better models to extract significant information.
Nondestructive imaging of large samples
Using X-ray technology enables examination of much larger samples without cutting them into thin slices. Electron microscopy provides high detail but causes permanent damage to the material being examined. The new method opens possibilities for biological imaging and studying materials three-dimensionally nondestructively. Publication details appear in Optica with DOI 10.1364/optica.603920 under the title Scalable joint X-ray nano-holotomography reconstruction.
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