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Related Experiment Video

Updated: Jul 10, 2026

Automated Slide Scanning and Segmentation in Fluorescently-labeled Tissues Using a Widefield High-content Analysis System
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Fully Automated OCT-based Tissue Screening System.

Shaohua Pi1,2, Razieh Ganjee1, Lingyun Wang1,2

  • 1Department of Ophthalmology, University of Pittsburgh, Pittsburgh, PA 15213, USA.

Arxiv
|May 27, 2024
PubMed
Summary
This summary is machine-generated.

A new optical coherence tomography (OCT) system enables automated, high-throughput screening of ex vivo tissue cultures. This advanced imaging technology accelerates drug discovery and research by providing rapid, reliable tissue analysis.

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Area of Science:

  • Biomedical Engineering
  • Ophthalmology
  • Drug Discovery

Background:

  • High-throughput screening is crucial for drug discovery and understanding disease mechanisms.
  • Current methods for analyzing ex vivo tissue cultures can be time-consuming and labor-intensive.
  • There is a need for non-invasive, high-resolution imaging techniques for rapid tissue assessment.

Approach:

  • Developed a novel optical coherence tomography (OCT) imaging system for automated, high-throughput screening of ex vivo tissue cultures.
  • Integrated a custom motorized platform and tissue detection for successive, automated sample imaging.
  • Employed transformer-based deep learning for robust segmentation and data analysis.

Key Points:

  • The system offers non-invasive, high-resolution imaging of tissue architecture and cellular morphology.
  • Automated imaging and deep learning analysis ensure rapid, consistent, and unbiased data acquisition.
  • Validated in mouse retinal degeneration models, demonstrating reliable assessment of treatment responses.

Conclusions:

  • This automated OCT system significantly advances ex vivo tissue screening capabilities.
  • The technology has the potential to accelerate drug discovery pipelines and biomedical research.
  • It provides a robust platform for comprehensive, quantitative analysis of tissue responses.