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Reconstructing specimens using DIC microscope images

Farhana Kagalwala and Takeo Kanade
Proceedings of the 2000 IEEE International Symposium on Bio-Informatics and Biomedical Engineering, November, 2000, pp. 307 - 315.


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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. Towards quantitatively measuring optical properties of objects from DIC images, the authors develop a method to reconstruct the specimen's optical properties over a three-dimensional volume. The method is a nonlinear optimization which uses hierarchical representations of the specimen and data. As a necessary tool, the authors have developed and validated a computational model for the DIC image formation process. They test their 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

Text Reference
Farhana Kagalwala and Takeo Kanade, "Reconstructing specimens using DIC microscope images," Proceedings of the 2000 IEEE International Symposium on Bio-Informatics and Biomedical Engineering, November, 2000, pp. 307 - 315.

BibTeX Reference
@inproceedings{Kagalwala_2000_3531,
   author = "Farhana Kagalwala and Takeo Kanade",
   title = "Reconstructing specimens using DIC microscope images",
   booktitle = "Proceedings of the 2000 IEEE International Symposium on Bio-Informatics and Biomedical Engineering",
   pages = "307 - 315",
   month = "November",
   year = "2000",
}

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