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Related Concept Videos

Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...

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Related Experiment Video

Updated: Jun 21, 2026

Substructure Analyzer: A User-Friendly Workflow for Rapid Exploration and Accurate Analysis of Cellular Bodies in Fluorescence Microscopy Images
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A Lightweight Browser-Based Tool for Collaborative and Blinded Image Analysis.

Philipp Schippers1,2, Gundula Rösch3, Rebecca Sohn3

  • 1Department of Orthopedics and Traumatology, University Medical Center of the Johannes Gutenberg, University Mainz, 55131 Mainz, Germany.

Journal of Imaging
|February 23, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces Tyche, a new online tool for collaborative biomedical image analysis. It enables secure, blind analysis by multiple experts, reducing errors and bias in research.

Keywords:
anonymizationcollaborative blinded image analysismultiple observersrandomization

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Area of Science:

  • Biomedical science
  • Medical imaging
  • Digital pathology

Background:

  • Collaborative manual image analysis is crucial in biomedical science.
  • Current methods for sharing images and results are prone to errors and manual merging issues.
  • Ensuring blinding and anonymization is vital to mitigate subjectivity and bias in expert analysis.

Purpose of the Study:

  • To propose a novel, secure, and efficient workflow for collaborative image analysis.
  • To introduce Tyche, a lightweight online tool designed to streamline multi-expert image review.
  • To facilitate blinded and anonymized analysis, enhancing data integrity.

Main Methods:

  • Development of a lightweight online tool, Tyche, for collaborative image analysis.
  • Implementation of temporarily valid URLs for secure image access.
  • Randomized, blinded analysis within a web browser interface.
  • Integrated results storage and immediate computation for project masters.

Main Results:

  • Tyche enables experts to perform blinded image analysis remotely.
  • The workflow minimizes errors associated with manual data handling and merging.
  • Results are computed instantly and made available to the project lead.
  • The system supports secure access and maintains data integrity.

Conclusions:

  • The proposed Tyche workflow offers a robust solution for collaborative image analysis.
  • It addresses key challenges in multi-center, inter/intra-observer studies, and score validation.
  • This approach enhances the reliability and efficiency of biomedical research requiring expert image interpretation.