Related Experiment Video
Updated: Jul 19, 2026
08:43
A Fluorescence-based Lymphocyte Assay Suitable for High-throughput Screening of Small Molecules
Published on: March 10, 2017
Characteristics and value of directed algorithms in high content screening
Richik N Ghosh1, Oleg Lapets, Jeffrey R Haskins
1Cellomics, Inc., Pittsburgh, PA, USA.
Methods in Molecular Biology (Clifton, N.J.)
|September 22, 2006
Summary
Developed automated image analysis algorithms for high content screening (HCS) to accurately quantify cellular images. These biology-directed tools optimize data acquisition and analysis for specific biological research needs.
Area of Science:
- Cell Biology
- Bioinformatics
- Image Analysis
Background:
- High content screening (HCS) demands robust, automated image analysis for large datasets.
- Manual image analysis is a bottleneck in HCS, limiting throughput and reproducibility.
Purpose of the Study:
- To develop a suite of biology-directed image processing algorithms for automated cellular image acquisition and quantitation.
- To create adaptable tools for both assay development and specific biological screening applications.
Main Methods:
- Designed directed algorithms based on understanding the specific biology under investigation.
- Implemented a four-step analysis sequence: primary object identification, property measurement, target identification/measurement, and raw data analysis.
- Categorized algorithms by phenotype, labeling patterns, or cell response behavior for optimized application.
Main Results:
- Developed two categories of directed algorithms: Developer Tools for assay development and Specific Algorithms for turnkey screening.
- Demonstrated the application of these algorithms across various cell biological problems and labeling patterns.
- Established a standardized analysis workflow adaptable to diverse biological contexts.
Conclusions:
- Biology-directed algorithms significantly enhance the automation and accuracy of high content screening image analysis.
- These tools provide optimized solutions for specific biological research questions, improving efficiency and data quality.
- The developed framework supports reproducible and scalable cellular image quantitation in HCS.
Related Concept Videos
01:26Drug Discovery: Overview
Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...
02:46Genetic Screens
Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which result in visible changes...
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which result in visible changes...