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Using the Hilbert transform for 3D visualization of differential interference contrast microscope images
Author(s) -
Arnison M. R.,
Cogswell C. J.,
Smith N. I.,
Fekete P. W.,
Larkin K. G.
Publication year - 2000
Publication title -
journal of microscopy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.569
H-Index - 111
eISSN - 1365-2818
pISSN - 0022-2720
DOI - 10.1046/j.1365-2818.2000.00706.x
Subject(s) - differential interference contrast microscopy , hilbert transform , microscopy , visualization , phase contrast microscopy , microscope , artificial intelligence , confocal microscopy , contrast (vision) , computer science , interference (communication) , optical microscope , differential (mechanical device) , computer vision , optics , physics , scanning electron microscope , computer network , channel (broadcasting) , filter (signal processing) , thermodynamics
Differential interference contrast (DIC) is frequently used in conventional 2D biological microscopy. Our recent investigations into producing a 3D DIC microscope (in both conventional and confocal modes) have uncovered a fundamental difficulty: namely that the phase gradient images of DIC microscopy cannot be visualized using standard digital image processing and reconstruction techniques, as commonly used elsewhere in microscopy. We discuss two approaches to the problem of preparing gradient images for 3D visualization: integration and the Hilbert transform. After applying the Hilbert transform, the dataset can then be visualized in 3D using standard techniques. We find that the Hilbert transform provides a rapid qualitative pre‐processing technique for 3D visualization for a wide range of biological specimens in DIC microscopy, including chromosomes, which we use in this study.