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23 February 2018 Single image structured illumination (SISIM) for in-vivo imaging
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Recently, it has been demonstrated that sectioning within a turbid media using structured illumination microscopy can be greatly enhanced through the use of a Hilbert transform algorithm. This technique, known as single image structured illumination microscopy (SISIM), provides high quality sectioning even within a strongly refracting/scattering medium, such as tissue. It is found that motion artifacts comprise a large portion of the error in in-vivo imaging. Thus, we expand on the SISIM technique by implementing an image registration algorithm which greatly mitigates motion induced artifacts. Multiple images and movies are developed to demonstrate SISIMs ability to provide real-time, in-vivo imaging of human tissue.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zachary R. Hoffman, Kose Kivanc, and Charles A. DiMarzio "Single image structured illumination (SISIM) for in-vivo imaging", Proc. SPIE 10499, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXV, 1049918 (23 February 2018);

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