Computational Model of DIC Microscopy: From Observations to Measurements

Farhana Kagalwala, F. Lanni, and Takeo Kanade
tech. report CMU-RI-TR-00-10, Robotics Institute, Carnegie Mellon University, March, 2000


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Abstract
Although Differential Interference Contrast (DIC) microscopy is a powerful visualization tool used to study live biological cells, its use so far has been limited to qualitative observations. The inherent non-linear relation between the object properties and the image intensity makes quantitative analysis difficult. Towards quantitatively measuring optical properties of objects from DIC images, we develop a model for the DIC image formation process using methods consistent with energy conservation laws. We verify our model by comparing real image data of manufactured specimens with simulated images of virtual objects. We plan to use this model to iteratively reconstruct the three-dimensional properties of unknown specimens.

Keywords
light propagation, ray tracer, microscope, DIC

Notes
Grant ID: 2904-1-5002275
Associated Center(s) / Consortia: Vision and Autonomous Systems Center
Associated Project(s): 3D Optical Reconstruction of Cell Shape
Number of pages: 49

Text Reference
Farhana Kagalwala, F. Lanni, and Takeo Kanade, "Computational Model of DIC Microscopy: From Observations to Measurements," tech. report CMU-RI-TR-00-10, Robotics Institute, Carnegie Mellon University, March, 2000

BibTeX Reference
@techreport{Kagalwala_2000_3300,
   author = "Farhana Kagalwala and F. Lanni and Takeo Kanade",
   title = "Computational Model of DIC Microscopy: From Observations to Measurements",
   booktitle = "",
   institution = "Robotics Institute",
   month = "March",
   year = "2000",
   number= "CMU-RI-TR-00-10",
   address= "Pittsburgh, PA",
}