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A Model-Based Approach to Extended Depth of Field for Brightfield Microscopy

F. Aguet, D. Van De Ville, M. Unser

Max Anliker memorial poster award, Proceedings of the 2007 Annual Meeting of the Swiss Society of Biomedical Engineering (SSBE'07), Neuchâtel NE, Swiss Confederation, September 13-14, 2007, pp. 8.


Brightfield microscopy suffers from a limited depth of field, often preventing thick specimens from being imaged entirely in-focus. By optically sectioning the specimen, the in-focus regions can be acquired over multiple images. Extended depth of field methods aim at combining the information from these images into a single in-focus image of the texture on the specimen's surface. For the analysis of the in-focus image, knowledge of the specimen's topography can be mandatory. The topography provided by current methods is usually limited to a map of selected pixel positions and is inherently discretized, which limits its use for quantitative evaluation [1, 2]. In this work, we present a joint estimation of the in-focus image (texture) and the topography, based on a model of the specimen and the microscope's point spread function (PSF). The method, which can be likened to an object model-based deconvolution, produces a continuous topography.

References

  1. A.G. Valdecasas, D. Marshall, J.M. Becerra, J.J. Terrero, "On the Extended Depth of Focus Algorithms for Bright Field Microscopy," Micron, vol. 32, no. 6, pp. 559-569, August 2001.

  2. B. Forster, D. Van De Ville, J. Berent, D. Sage, M. Unser, "Complex Wavelets for Extended Depth-of-Field: A New Method for the Fusion of Multichannel Microscopy Images," Microscopy Research and Technique, vol. 65, no. 1-2, pp. 33-42, September 2004.

Max Anliker Memorial Poster Award

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AUTHOR="Aguet, F. and Van De Ville, D. and Unser, M.",
TITLE="A Model-Based Approach to Extended Depth of Field for Brightfield
	Microscopy",
BOOKTITLE="Proceedings of the 2007 Annual Meeting of the Swiss Society
	of Biomedical Engineering ({SSBE'07})",
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address="Neuch{\^{a}}tel NE, Swiss Confederation",
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© 2007 SSBE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from SSBE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
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