Automatic analysis of macroarrays images

被引：6

作者：

Caridade, C. M. R. ^{[1
,2
]}

Marcal, A. R. S. ^{[3
,4
]}

Mendonca, T. ^{[2
]}

Albuquerque, P. ^{[5
]}

Mendes, M. V. ^{[6
]}

Tavares, F. ^{[5
]}

机构：

[1] Inst Super Engn Coimbra, Coimbra, Portugal

[2] Univ Porto, Fac Ciencias, P-4169007 Oporto, Portugal

[3] Univ Porto, Fac Ciencias, CICGE, P-4169007 Oporto, Portugal

[4] Univ Porto, Fac Ciencias, CMUP, P-4169007 Oporto, Portugal

[5] Univ Porto, Fac Ciencias, IBMC, Dept Biol, Oporto, Portugal

[6] Univ Porto, IBMC, Oporto, Portugal

来源：

2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 2010年

关键词：

OLIGONUCLEOTIDE ARRAY; IDENTIFICATION;

D O I：

10.1109/IEMBS.2010.5627805

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

The analysis of dot blot (macroarray) images is currently based on the human identification of positive/negative dots, which is a subjective and time consuming process. This paper presents a system for the automatic analysis of dot blot images, using a pre-defined grid of markers, including a number of ON and OFF controls. The geometric deformations of the input image are corrected, and the individual markers detected, both tasks fully automatically. Based on a previous training stage, the probability for each marker to be ON is established. This information is provided together with quality parameters for training, noise and classification, allowing for a fully automatic evaluation of a dot blot image.

引用

页码：6122 / 6125

页数：4

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