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Related Experiment Video

Updated: Jun 27, 2026

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

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

Published on: December 16, 2014

CellProfiler Analyst: data exploration and analysis software for complex image-based screens.

Thouis R Jones¹, In Han Kang, Douglas B Wheeler

¹Imaging Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. thouis@broad.mit.edu

BMC Bioinformatics

|November 19, 2008

Summary

This summary is machine-generated.

CellProfiler Analyst is new open-source software designed for exploring and analyzing large datasets from image-based screens. It facilitates interactive data exploration and automated scoring of complex cellular phenotypes.

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Development of automated imaging and analysis for zebrafish chemical screens.

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Last Updated: Jun 27, 2026

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

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Multiplexed Barcoding Image Analysis for Immunoprofiling and Spatial Mapping Characterization in the Single-Cell Analysis of Paraffin Tissue Samples

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Development of automated imaging and analysis for zebrafish chemical screens.

Development of automated imaging and analysis for zebrafish chemical screens.

Published on: June 24, 2010

Area of Science:

Biology
Bioinformatics
Computational Biology

Background:

High-throughput image-based screens generate vast amounts of multidimensional cellular data.
Analyzing this data requires sophisticated tools for efficient exploration and interpretation.

Purpose of the Study:

To introduce CellProfiler Analyst, an open-source software solution.
To enable interactive exploration and analysis of large-scale image-based screening data.

Main Methods:

Description of the CellProfiler Analyst software architecture.
Demonstration of interactive data visualization and analysis capabilities.
Implementation of automated phenotype scoring based on multiple features.

Main Results:

CellProfiler Analyst provides a platform for interactive exploration of multidimensional cellular data.
The software supports automated identification and scoring of complex phenotypes.
Facilitates analysis of data from high-throughput, image-based experiments.

Conclusions:

CellProfiler Analyst empowers researchers to interactively explore image-based screening data.
The system enables automated scoring of complex phenotypes by integrating multiple cell features.
It is a valuable tool for advancing high-throughput biological discovery.