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Publication
Automatic processing of bidimensional images of ''omic'' expression blobs
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| 17.49 MB | Adobe PDF |
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Advisor(s)
Abstract(s)
In this work, a comprehensive review on automatic analysis of Proteomics
and Genomics images is presented. Special emphasis is given to a particularly
complex image produced by a technique called Two-Dimensional Gel
Electrophoresis (2-DE), with thousands of spots (or blobs). Automatic methods
for the detection, segmentation and matching of blob like features are
discussed and proposed.
In particular, a very robust procedure was achieved for processing 2-DE
images, consisting mainly of two steps: a) A very trustworthy new approach
for the automatic detection and segmentation of spots, based on the
Watershed Transform, without any foreknowledge of spot shape or size,
and without user intervention; b) A new method for spot matching, based
on image registration, that performs well for either global or local distortions.
The results of the proposed methods are compared to state-of-the-art
academic and commercial products.