Computational Model of DIC Microscopy: From Observations to Measurements
Tech. Report, CMU-RI-TR-00-10, Robotics Institute, Carnegie Mellon University, March, 2000
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.
BibTeX
@techreport{Kagalwala-2000-7986,author = {Farhana Kagalwala and F. Lanni and Takeo Kanade},
title = {Computational Model of DIC Microscopy: From Observations to Measurements},
year = {2000},
month = {March},
institute = {Carnegie Mellon University},
address = {Pittsburgh, PA},
number = {CMU-RI-TR-00-10},
keywords = {light propagation, ray tracer, microscope, DIC},
}
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