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Related Experiment Video

Updated: Dec 8, 2025

Workflow for High-content, Individual Cell Quantification of Fluorescent Markers from Universal Microscope Data, Supported by Open Source Software

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Published on: December 16, 2014

TheCellVision.org: A Database for Visualizing and Mining High-Content Cell Imaging Projects.

Myra Paz David Masinas¹, Mojca Mattiazzi Usaj², Matej Usaj¹

¹The Donnelly Centre, University of Toronto, Ontario, M5S 3E1, Canada.

G3 (Bethesda, Md.)

|September 16, 2020

Summary

This summary is machine-generated.

TheCellVision.org is a new online tool for exploring high-content screening data, featuring over 575,000 images of yeast cells. This resource facilitates discovery and re-analysis of subcellular morphology and protein localization data.

Keywords:

high-content screening image analysis tools penetrance protein abundance quantitative image analysis subcellular localization subcellular morphology

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Last Updated: Dec 8, 2025

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Area of Science:

Cell Biology
Bioinformatics
Genomics

Background:

Genome engineering and high-throughput imaging enable genome-scale single-cell screens for various phenotypes.
Subcellular morphology and protein localization are key phenotypes studied in high-content screening (HCS).

Purpose of the Study:

To create a freely available, web-accessible tool called TheCellVision.org for visualizing and browsing HCS image data.
To serve as a central repository for fluorescence microscopy images and quantitative data from HCS experiments.

Main Methods:

Construction of TheCellVision.org as a web-accessible platform.
Hosting approximately 575,590 images and analysis results from two HCS projects on Saccharomyces cerevisiae.
Development of search and data extraction functionalities for subcellular morphology, protein abundance, and localization.

Main Results:

TheCellVision.org provides access to a large dataset of HCS images and associated quantitative data.
Users can visualize, explore, search, compare, and extract data related to cellular phenotypes.
Computational tools are available and demonstrated for use with mammalian cell images.

Conclusions:

TheCellVision.org enables new discoveries and independent re-analyses of HCS imaging data.
Web-accessible repositories like TheCellVision.org are crucial for advancing biological research using imaging data.