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Everything about Coherent diffraction imaging

Lensless computational imaging method

Coherent diffractive imaging (CDI) is a computational microscopy method that reconstructs images from coherent diffraction patterns without the use of lenses. It was first experimentally demonstrated in 1999 by Miao and collaborators using synchrotron X-rays and iterative phase retrieval. CDI has been applied to image structures such as nanotubes, nanocrystals, porous nanocrystalline layers, defects, potentially proteins, and more. In CDI, a highly coherent beam of X-rays, electrons or other wavelike particle or photon is incident on an object. The beam scattered by the object produces a diffraction pattern downstream which is then collected by a detector. This recorded pattern is then used to reconstruct an image via an iterative feedback algorithm. Effectively, the objective lens in a typical microscope is replaced with software to convert from the reciprocal space diffraction pattern into a real space image. The advantage in using no lenses is that the final image is aberration–free and so resolution is only diffraction and dose limited. Applying a simple inverse Fourier transform to information with only intensities is insufficient for creating an image from the diffraction pattern due to the missing phase information. This is called the phase problem. Wikipedia →

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  1. Read the overview: Coherent diffraction imagingA 5-minute orientation
  2. Skim a recent paper: Physics-driven deep learning enables temporal compressive coherent diffraction imagingInfluential work since 2022
  3. Pick up a classic book: Polarimetrische Untersuchung der Kantenstreuung in der mono- und bistatischen MikrowellenabbildungThe most-reprinted book on the subject
  4. Read the landmark paper: Translation position determination in ptychographic coherent diffraction imagingCited 297 times
  5. Go sideways: Computational imagingA closely related topic
  6. Go sideways: Computational microscopyA closely related topic

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