The Robotics Institute
Search the site
RI | Publications | Reconstructing specimens using DIC microscope images

Text only version of this site

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

Jump to: Download | Abstract | Notes | Text Reference | BibTeX Reference

Download [Help]

Adobe portable document format (pdf) [850 KB]

Copyright notice: 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. These works may not be reposted without the explicit permission of the copyright holder.

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: VASC
Associated project: 3D Optical Reconstruction of Cell Shape

Text Reference

F. Kagalwala and T. 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",
   month = "November",
   year = "2000",
   pages = "307 - 315"
}


The Robotics Institute is part of the School of Computer Science, Carnegie Mellon University.
For updates and comments, please see these instructions.
This page maintained by robotwebmaster@ri.cmu.edu