The Robotics Institute

Carnegie Mellon Robotics Institute

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Abstract

Differential Interference Contrast (DIC) microscopy is a powerful visualization tool to study live biological cells. Its use in quantitative analysis, however, is limited by the nonlinear relation between image and object. Combining concepts from graphics and physics, we model these nonlinearities using a generalized ray tracer. We verify our model by comparing real image data of manufactured specimens to simulated images of virtual objects. We plan to use this model to iteratively reconstruct the three-dimensional properties of unknown specimens.

Keywords

computational sensors, graphics, light-propagation model,

Notes

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

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

Number of pages: 8

Text Reference

Farhana Kagalwala and Takeo Kanade, "Simulating DIC Microscope Images: From Physical Principles to Computational Model.," Proceedings of Workshop on Photometric Modelling in Computer Vision and Graphics, June, 1999, pp. 48 - 55.

BibTeX Reference

@inproceedings{Kagalwala_1999_2119,
   author = "Farhana Kagalwala and Takeo Kanade",
   editor = "Sang W. Lee",
   title = "Simulating DIC Microscope Images: From Physical Principles to Computational Model.",
   booktitle = "Proceedings of Workshop on Photometric Modelling in Computer Vision and Graphics",
   pages = "48 - 55",
   publisher = "IEEE",
   month = "June",
   year = "1999",
}

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