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Related Experiment Video

Updated: Mar 3, 2026

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Evaluation of Compound Optical Interference in High-Content Screening.

Glorymar Ibáñez1,2, Paul A Calder1,2, Constantin Radu3

  • 11 Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA.

SLAS Discovery : Advancing Life Sciences R & D
|May 4, 2017
PubMed
Summary

Compound optical interference causes false positives in automated microscopy assays. A screen of 315,000 compounds found all identified positives were due to this interference, not specific miRNA biogenesis modulation.

Keywords:
cell-based assayschemoinformaticscompound repositorieshigh-content screeningimage analysis

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Area of Science:

  • Drug discovery and development
  • Cell-based assays
  • High-content screening

Background:

  • Compound optical interference is a known issue in biochemical assays.
  • It is often assumed automated microscopy assays are immune due to washing steps.
  • False positives from optical interference increase attrition in drug discovery.

Purpose of the Study:

  • To analyze compound optical interference in an automated microscopy-based, gain-of-function cell assay.
  • To identify modulators of micro RNA (miRNA) biogenesis.
  • To investigate the prevalence of optical interference in high-content screening.

Main Methods:

  • Utilized a validated image-based biosensor with enhanced green fluorescent protein reporter.
  • Screened a library of approximately 315,000 diverse compounds.
  • Performed lateral confirmation and dose-response studies on identified positives.

Main Results:

  • 1130 initial positives were identified that enhanced green fluorescence.
  • All confirmed positives were found to be artifacts of optical interference.
  • No specific modulators of miRNA biogenesis were identified in this screen.

Conclusions:

  • Automated microscopy assays are susceptible to compound optical interference.
  • Optical interference significantly contributes to false-positive results in high-content screening.
  • Identifying susceptible chemical classes is crucial for improving assay reliability.