Robotics Institute: Automatic Segmentation of Proteomic Images


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[Project image] Automatic Segmentation of Proteomic Images
This project is no longer active.
Head: Fernando De la Torre Frade
Contact: Fernando De la Torre Frade (ftorre@cs.cmu.edu)
Mailing address:
Carnegie Mellon University
Robotics Institute
211 Smith Hall
Pittsburgh, PA 15213

Associated center: VASC

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Project Description

Co-detecting spots on a cumulative proteomic image derived from two individual proteomic images (an in-gel image pair). Once the co-detection is done, the system quantifies spot protein abundance for each image and expresses these values as a ratio that indicates the changes in expression levels by direct comparison of corresponding spots. This ratio parameter can be used, in small-scale experiments, to directly evaluate changes between two labeled protein samples.

Past members

Name Title Email Address

Esteban Curras Visiting Scholar

Fernando De la Torre Frade Research Scientist ftorre@cs.cmu.edu

Jonathan S. Minden Associate Professor. Department of Biological Sciences minden@cmu.edu

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Name	Title	Email Address
Esteban Curras	Visiting Scholar
Fernando De la Torre Frade	Research Scientist	ftorre@cs.cmu.edu
Jonathan S. Minden	Associate Professor. Department of Biological Sciences	minden@cmu.edu