Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Jun 26, 2026

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

Robust spots finding in microarray images with distortions.

Andres Figueroa1, Ping-Sing Tsai, Elizabeth Bent

  • 1Department of Computer Science, The University of Texas - Pan American, Edinburg, 78539 USA. afigueroa@cs.panam.edu

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|January 24, 2009
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Comparison of Outcomes and Radiation Exposure using Fiber-Optic RealShape enabled standard guidewire (FORS) vs. LumiGuide for Fenestrated-Branched Endovascular Aortic Aneurysm Repair.

Journal of vascular surgery·2026
Same author

Skin Transcriptomics Reveal Shared Molecular Mechanisms for Skin and Lung Involvement in Systemic Sclerosis.

Arthritis & rheumatology (Hoboken, N.J.)·2026
Same author

Repair a Defect Overlapping the Lip and Alar Base.

Dermatologic surgery : official publication for American Society for Dermatologic Surgery [et al.]·2026
Same author

Evolution of Creative Techniques of PMEGs for Arch Aneurysms.

Annals of vascular surgery·2026
Same author

Tobacco rattle virus infection alters Arabidopsis gene expression via virus-derived SiRNAs and host MiRNA network disruption.

BMC genomics·2025
Same author

Treatment and outcomes of type IIIb endoleaks affecting the main fenestrated-branched aortic stent graft component among patients treated for complex abdominal and thoracoabdominal aortic aneurysms.

Journal of vascular surgery·2025
Same journal

Analysis of End-Tidal CO2 Variability During Plateau Waves Episodes: An Information Theoretic Approach<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

AI and Tomosynthesis for Breast Cancer Molecular Subtyping: A step toward precision medicine<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Towards Sustainable Protein Recovery from Biological Waste: Assessing Polyethersulfone-based Microfiltration.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Analysis of the cardiovascular response to standardized polymicrobial peritonitis experimental model.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Automated Wrist Ultrasound Image Bone Enhancement and Segmentation Using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

A Deep Learning approach for Depressive Symptoms assessment in Parkinson's disease patients using facial videos.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
See all related articles

This study introduces a robust method for automatically finding spots in microarray images, even with rotation and distortions. This improves the accuracy of gene expression analysis from high-throughput experiments.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Microarray imaging is a key high-throughput technology for gene expression analysis.
  • Accurate automated analysis of microarray images is crucial for reliable biological conclusions.
  • Existing methods struggle with image distortions and rotations, hindering automated analysis.

Purpose of the Study:

  • To develop a robust method for automatic spot finding in microarray images.
  • To address challenges posed by rotation and optical distortions in microarray images.
  • To improve the accuracy and automation of microarray image analysis.

Main Methods:

  • A novel, robust spot finding algorithm is proposed.
  • The method incorporates automatic gridding capabilities.

More Related Videos

Analysis of Histone Antibody Specificity with Peptide Microarrays
09:47

Analysis of Histone Antibody Specificity with Peptide Microarrays

Published on: August 1, 2017

Competitive Genomic Screens of Barcoded Yeast Libraries
11:59

Competitive Genomic Screens of Barcoded Yeast Libraries

Published on: August 11, 2011

Related Experiment Videos

Last Updated: Jun 26, 2026

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

Analysis of Histone Antibody Specificity with Peptide Microarrays
09:47

Analysis of Histone Antibody Specificity with Peptide Microarrays

Published on: August 1, 2017

Competitive Genomic Screens of Barcoded Yeast Libraries
11:59

Competitive Genomic Screens of Barcoded Yeast Libraries

Published on: August 11, 2011

  • It is designed to handle various types of rotation (global, sub-array) and optical distortions.

    • Main Results:

    • The proposed method successfully identifies spots in microarray images.
    • It demonstrates robustness against both rotational and optical distortions.
    • Automatic gridding is effectively implemented.

    Conclusions:

    • The developed method offers a significant improvement for automated microarray image analysis.
    • It provides a reliable solution for handling common image artifacts like rotation and distortion.
    • This enhances the trustworthiness of gene expression data derived from microarrays.