Research Papers: Imaging

Single-image structured illumination using Hilbert transform demodulation

[+] Author Affiliations
Zachary R. Hoffman

Northeastern University, Boston, Massachusetts, United States

Draper Laboratory, Cambridge, Massachusetts, United States

Charles A. DiMarzio

Northeastern University, Boston, Massachusetts, United States

J. Biomed. Opt. 22(5), 056011 (May 31, 2017). doi:10.1117/1.JBO.22.5.056011
History: Received February 22, 2017; Accepted May 11, 2017
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Abstract.  Structured illumination microscopy (SIM) achieves sectioning at depth by removing undesired light from out-of-focus planes within a specimen. However, it generally requires at least three modulated images with discrete phase shifts of 0, 120, and 240 deg to produce sectioning. Using a Hilbert transform demodulation, it is possible to produce both sectioning and depth information relative to a reference plane (i.e., a coverslip) using only a single image. The specimen is modulated at a known frequency, and the unmodulated portion of the image is estimated. These two components are used to provide a high-quality sectioned image containing both axial and lateral information of an object. The sectioning resolution with a single image is on par with that of a control three-image SIM. We are also able to show that when used with three images of discrete phase, this method produces better contrast within a turbid media than the traditional SIM technique. Because the traditional SIM requires alignment of three different phases, small differences in optical path length can introduce strong artifacts. Using the single-image technique removes this dependency, greatly improving sectioning in turbid media. Multiple targets with various depths and opaqueness are considered, including human skin in vivo, demonstrating a quick and useful way to provide noninvasive sectioning in real time.

© 2017 Society of Photo-Optical Instrumentation Engineers

Citation

Zachary R. Hoffman and Charles A. DiMarzio
"Single-image structured illumination using Hilbert transform demodulation", J. Biomed. Opt. 22(5), 056011 (May 31, 2017). ; http://dx.doi.org/10.1117/1.JBO.22.5.056011


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