Quantitative DIC microscopy using an off-axis self-interference approach.

Optics Letters
Dan FuMichael S Feld

Abstract

Traditional Normarski differential interference contrast (DIC) microscopy is a very powerful method for imaging nonstained biological samples. However, one of its major limitations is the nonquantitative nature of the imaging. To overcome this problem, we developed a quantitative DIC microscopy method based on off-axis sample self-interference. The digital holography algorithm is applied to obtain quantitative phase gradients in orthogonal directions, which leads to a quantitative phase image through a spiral integration of the phase gradients. This method is practically simple to implement on any standard microscope without stringent requirements on polarization optics. Optical sectioning can be obtained through enlarged illumination NA.

References

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Citations

May 15, 2013·Annual Review of Biomedical Engineering·P MarquetP J Magistretti
Feb 26, 2016·Frontiers in Microbiology·Chun-Hsien HungYuki Nakamura
Apr 18, 2014·Biophysical Journal·Pierre BonSandrine Lévêque-Fort
Mar 2, 2017·Optics Letters·José Ángel Picazo-BuenoVicente Micó
Nov 30, 2010·Biomedical Optics Express·Dan FuMichael Feld
Jul 16, 2015·Optics Letters·Takumi YanagawaYoshio Hayasaki
Feb 23, 2011·Biomedical Optics Express·Lisa MiccioPietro Ferraro
Sep 21, 2011·Optics Letters·Ignacio Iglesias
Jul 1, 2014·Optics Letters·KyeoReh Lee, YongKeun Park
Mar 1, 2018·Optics Letters·José Ángel Picazo-BuenoVicente Micó
Mar 13, 2020·Optics Letters·Yi WangGabriel Popescu
Feb 18, 2011·Optics Letters·Yizheng ZhuAdam Wax
Jan 13, 2018·Applied Optics·José Ángel Picazo-BuenoVicente Micó
Nov 22, 2018·Biomedical Optics Express·Michael KellmanLaura Waller
Feb 12, 2014·Applied Optics·Sanjib Chatterjee, Y Pavan Kumar
Jul 2, 2016·Optics Letters·Gennady VishnyakovValery Pickalov
Feb 6, 2021·Journal of Structural Biology·Seyed Mohammad SiadatJeffrey W Ruberti
Mar 12, 2021·Cytometry. Part a : the Journal of the International Society for Analytical Cytology·Rongxin FuGuoliang Huang

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