LT Euroopa Liidu rahastatud projektid

Selle valdkonna püsiv URIhttps://hdl.handle.net/10062/63399

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Sirvi LT Euroopa Liidu rahastatud projektid Märksõna "axial resolution" järgi

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  • Pisipilt
    Kirje
    Extending the Depth of Focus of Infrared Microscope Using a Binary Axicon Fabricated on Barium Fluoride
    (2024) Han, Molong; Smith, Daniel; Kahro, Tauno; Stonytė, Dominyka; Kasikov, Aarne; Gailevičius, Darius; Tiwari, Vipin; Xavier, Agnes Pristy Ignatius; Gopinath, Shivasubramanian; Ng, Soon Hock; Rajeswary, Aravind Simon John Francis; Tamm, Aile; Kukli, Kaupo
    Axial resolution is one of the most important characteristics of a microscope. In all microscopes, a high axial resolution is desired in order to discriminate information efficiently along the longitudinal direction. However, when studying thick samples that do not contain laterally overlapping information, a low axial resolution is desirable, as information from multiple planes can be recorded simultaneously from a single camera shot instead of plane-by-plane mechanical refocusing. In this study, we increased the focal depth of an infrared microscope non-invasively by introducing a binary axicon fabricated on a barium fluoride substrate close to the sample. Preliminary results of imaging the thick and sparse silk fibers showed an improved focal depth with a slight decrease in lateral resolution and an increase in background noise.
  • Pisipilt
    Kirje
    Modulating Axial Resolutions of Scenes Recorded Incoherently Using Cubic Phase Masks by Chaos-Engineering
    (2023 International Conference on Next Generation Electronics (NEleX), 2023) Gopinath, Shivasubramanian; Anand, Vijayakumar
    Axial and lateral resolutions form the cornerstones of any imaging system including coded aperture imaging systems. The above characteristics are intertwined and it is not possible to change one characteristic without affecting the other using conventional means i.e., by changing the numerical aperture. Recently, using computational imaging concepts, the interdependency between lateral and axial resolutions was broken and axial resolution was tuned without affecting the lateral resolution. However, the above capability is possible only by engineering of coded phase masks before recording and impossible after completing the recording process. In this study, we propose and demonstrate a novel computational imaging method that allows to tune axial resolution with a constant lateral resolution after completing the recording process. A total of four unique cubic phase masks (CPMs) were designed for generating Airy patterns with different 3D paths relatively chaotic with respect to one another. The 4 CPMs were used to record the point spread and object intensity patterns. The axial resolution was tuned by creating synthetic point spread and object intensity patterns by summing the patterns recorded using different CPMs. The axial resolution improved with an increase in chaos that is proportional to the number of patterns that were summed to create the synthetic patterns. The object is reconstructed using Lucy-Richardson-Rosen algorithm. Experimental studies were carried out to confirm the capability to tune axial resolution of pictures post recording.