Paper
12 February 2008 Modeling of optical quadrature microscopy for imaging mouse embryos
Author Affiliations +
Abstract
Optical quadrature microscopy (OQM) has been shown to provide the optical path difference through a mouse embryo, and has led to a novel method to count the total number of cells further into development than current non-toxic imaging techniques used in the clinic. The cell counting method has the potential to provide an additional quantitative viability marker for blastocyst transfer during in vitro fertilization. OQM uses a 633 nm laser within a modified Mach-Zehnder interferometer configuration to measure the amplitude and phase of the signal beam that travels through the embryo. Four cameras preceded by multiple beamsplitters record the four interferograms that are used within a reconstruction algorithm to produce an image of the complex electric field amplitude. Here we present a model for the electric field through the primary optical components in the imaging configuration and the reconstruction algorithm to calculate the signal to noise ratio when imaging mouse embryos. The model includes magnitude and phase errors in the individual reference and sample paths, fixed pattern noise, and noise within the laser and detectors. This analysis provides the foundation for determining the imaging limitations of OQM and the basis to optimize the cell counting method in order to introduce additional quantitative viability markers.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
William C. Warger II and Charles A. DiMarzio "Modeling of optical quadrature microscopy for imaging mouse embryos", Proc. SPIE 6861, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XV, 68610T (12 February 2008); https://doi.org/10.1117/12.763916
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Beam splitters

Microscopy

Interference (communication)

Cameras

CCD cameras

Optical microscopy

3D image reconstruction

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