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  1. Journal of the Optical Society of America. A, Optics, image science, and vision
  2. Year: 2013, Volume: 30
  3. Year: 2013, Volume: 30, Issue: 4
  4. Quantitative orientation-independent DIC microscope with fast switching shear direction and bias modulation
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Year: 2016, Volume: 33
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Year: 2013, Volume: 30, Issue: 11
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Year: 2013, Volume: 30, Issue: 5
Year: 2013, Volume: 30, Issue: 4
Quantitative orientation-independent DIC microscope with fast switching shear direction and bias modulation
Year: 2013, Volume: 30, Issue: 1
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Quantitative orientation-independent DIC microscope with fast switching shear direction and bias modulation

Content Provider PubMed Central
Author Michael, Shribak
Abstract We describe quantitative orientation-independent differential interference contrast (OI-DIC) microscope, which allows the bias retardation to be modulated and shear directions to be switched rapidly without any mechanically moving. The shear direction is switched by regular liquid crystal cell sandwiched between two standard DIC prisms. Another liquid crystal cell modulates the bias. Techniques for measuring parameters of DIC prisms and calibrating the bias are shown. Two sets of raw DIC images with the orthogonal shear directions are captured within a second. Then the quantitative image of optical path gradient distribution within a thin optical section is computed. The gradient data are used to obtain quantitative distribution of optical path, which represents refractive index gradient or height distribution. Computing enhanced regular DIC images with any desired shear direction is also possible.
Starting Page 769
File Format PDF
ISSN 15208532
e-ISSN 15208532
Journal Journal of the Optical Society of America. A, Optics, image science, and vision
Issue Number 4
Volume Number 30
Language English
Publisher Date 2013-04-01
Access Restriction Open
Subject Keyword Research in Higher Education
Content Type Text
Resource Type Article
Subject Medicine Atomic and Molecular Physics, and Optics Electronic, Optical and Magnetic Materials Computer Vision and Pattern Recognition
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