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 Videos

Scanning microarrays: current methods and future directions.

Jerilyn A Timlin1

  • 1Biomolecular Analysis and Imaging, Sandia National Laboratories, Albuquerque, NM, USA.

Methods in Enzymology
|August 31, 2006
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

Peak2Patch: High-Fidelity Functional Group Identification through Attention-Based Fusion of Infrared and Mass Spectra.

ACS omega·2026
Same author

Label-Free, Noninvasive Bone Cell Classification by Hyperspectral Confocal Raman Microscopy.

Chemical & biomedical imaging·2024
Same author

Singleplex, multiplex and pooled sample real-time RT-PCR assays for detection of SARS-CoV-2 in an occupational medicine setting.

Scientific reports·2022
Same author

CasCollect: targeted assembly of CRISPR-associated operons from high-throughput sequencing data.

NAR genomics and bioinformatics·2021
Same author

Gene editing and CRISPR in the clinic: current and future perspectives.

Bioscience reports·2020
Same author

Imaging effectiveness calculator for non-design microscope samples.

Applied optics·2019
Same journal

1,2-Aminothiol-specific conjugation for dual-color fluorescent labeling via ultrafast TAMM conjugates.

Methods in enzymology·2026
Same journal

Nitrone dipoles in bioorthogonal chemistry applications.

Methods in enzymology·2026
Same journal

Bioorthogonal labeling of sialic acid isomers for detection of glycoconjugates by mass spectrometry imaging and microscopy.

Methods in enzymology·2026
Same journal

Bioorthogonal photocatalytic proximity labeling for quantitative mapping of cell-cell interactions.

Methods in enzymology·2026
Same journal

inCu-click: Enabling copper-catalyzed click chemistry inside living cells.

Methods in enzymology·2026
Same journal

Site-specific antibody labeling via endo-S2 mediated Fc glycan remodeling.

Methods in enzymology·2026
See all related articles

Scanning is a critical yet overlooked step in microarray gene expression analysis. Optimizing scan parameters and understanding scanner limitations improve data reliability for high-throughput experiments.

Area of Science:

  • Molecular Biology
  • Genomics
  • Biotechnology

Background:

  • Microarray platforms enable large-scale, high-throughput gene expression studies.
  • Reliable data necessitates meticulous attention to all microarray process steps: design, printing, hybridization, scanning, and analysis.
  • The scanning step is a critical quality-limiting component often receiving insufficient focus.

Purpose of the Study:

  • To address the effects of scan parameters and scanning technology limitations on microarray data quality.
  • To categorize these effects into instrumentation and user-controlled parameters for two-color cDNA microarrays.
  • To highlight the need for research into scanning-induced variability and errors.

Main Methods:

  • Focus on scanning parameters and limitations for two-color cDNA microarrays on glass substrates.

Related Experiment Videos

  • Categorization of scanning effects into instrumentation and user-controlled parameters.
  • Discussion of implications for large-scale, multi-slide, and multi-laboratory experiments.

    • Main Results:

    • Scanning parameters and instrument specifics significantly impact data reliability.
    • Errors introduced by the scanning process, instrumentation, and user choices can affect experimental outcomes.
    • Emerging technologies like surface plasmon imaging offer potential complementary solutions.

    Conclusions:

    • Careful selection of scanning parameters and understanding instrument capabilities enhance data reliability.
    • Reducing scanning-related errors minimizes the need for complex data preprocessing.
    • Further research into characterizing scanning variability is crucial for robust gene expression analysis.