The Robotics Institute

Carnegie Mellon Robotics Institute

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Abstract

Differential interference contrast (DIC) microscopy is a powerful visualization tool used to study live biological cells. Its use, however, has been limited to qualitative observations. The inherent nonlinear relationship between the object properties and the image intensity makes quantitative analysis difficult. Toward quantitatively measuring optical properties of objects from DIC images, we develop a method to reconstruct the specimen? optical properties over a three-dimensional (3-D) volume. The method is a nonlinear optimization which uses hierarchical representations of the specimen and data. As a necessary tool, we have developed and validated a computational model for the DIC image formation process.We test our algorithm by reconstructing the optical properties of known specimens.

Notes

Associated Center(s) / Consortia: Vision and Autonomous Systems Center

Associated Project(s): 3D Optical Reconstruction of Cell Shape

Number of pages: 10

Text Reference

Farhana Kagalwala and Takeo Kanade, "Reconstructing specimens using DIC microscopic images," IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, Vol. 33, No. 5, October, 2003, pp. 728 - 737..

BibTeX Reference

@article{Kagalwala_2003_5828,
   author = "Farhana Kagalwala and Takeo Kanade",
   title = "Reconstructing specimens using DIC microscopic images",
   journal = "IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics",
   pages = "728 - 737.",
   month = "October",
   year = "2003",
   volume = "33",
   number = "5",
}

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