Automated Screening Assay
Automated Screening Assay - Related Videos
08:06
Automated Acoustic Dispensing for the Serial Dilution of Peptide Agonists in Potency Determination Assays
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Cited by 1 •
2016
Peptide adsorption to plasticware during traditional tip-based serial dilutions can significantly impact potency determination and confound the understanding of structure-activity relationships used for lead identification and lead optimization phases of drug discovery. Here methods for automated acoustic non-contact serial dilution of peptide samples are described.
10:58
Quantitative and Automated High-throughput Genome-wide RNAi Screens in C. elegans
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Cited by 25 •
2012
We describe a protocol using C. elegans and RNAi feeding libraries that allows automated measurement of multiple parameters such as fluorescence, size and opacity of individual worms in a population. We give one example of a screen to identify genes involved in anti-fungal innate immunity in C. elegans.
10:49
Development of automated imaging and analysis for zebrafish chemical screens.
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Cited by 48 •
2010
We report the development of a system for automated imaging and analysis of zebrafish transgenic embryos in multiwell plates. This demonstrates the ability to measure dose dependent effects of a small molecule, BCI, on Fibroblast Growth Factor reporter gene expression and provide technology for establishing high-throughput zebrafish chemical screens.
07:50
Facilitating Drug Discovery: An Automated High-content Inflammation Assay in Zebrafish
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Cited by 39 •
2012
Here we describe a novel high-content chemically induced inflammation assay aiming at the identification of immune-modulatory bioactives. We have successfully combined automated microscopy with custom developed software scripts enabling automated quantification of the inflammatory response as well as further data processing, analysis, mining, and storage.
12:02
Automated Modular High Throughput Exopolysaccharide Screening Platform Coupled with Highly Sensitive Carbohydrate Fingerprint Analysis
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Cited by 18 •
2016
We present an automated modular high-throughput-method for the identification and characterization of microbial exopolysaccharides in small scale. This method combines a fast preselection to analyze the total amount of secreted polysaccharides with a detailed carbohydrate fingerprint to enable the fast screening of newly isolated bacterial strains or entire strain collections.
FAQs
Reference controls provide comparison points for judging whether a measured signal represents a meaningful change. Analysis algorithms then process results systematically rather than relying only on manual inspection. Together, these elements help connect instrument readings with interpretable experimental differences, strengthening data quality when many samples or conditions are tested.
Standardized microplate formats organize samples and conditions in a consistent layout, while robotic liquid handling supports controlled processing across the assay. This combination helps limit differences caused by manual operations and makes results easier to compare across many tested samples, supporting more consistent screening data.
Automated screening can record assay signals through fluorescence, absorbance, or imaging measurements. These readouts allow instruments to evaluate changes systematically across samples or conditions, while software helps analyze the resulting data. The selected signal type depends on what the assay is designed to monitor, such as pathogen growth or an immune-cell response.
Manual differences in handling can make results harder to compare across samples or experimental conditions. Automation reduces this source of variability by applying standardized processing and instrument-based measurements. More consistent handling supports reproducible identification of meaningful assay changes, which is important when screening compounds, immune responses, or pathogen-related outcomes.
A typical workflow organizes samples or conditions in a standardized microplate format, uses robotic liquid handling for controlled processing, and applies automated fluorescence, absorbance, or imaging measurements. Reference controls are included for comparison, after which analysis algorithms examine the assay signals to identify meaningful changes in the tested system.
Researchers can apply this approach when they need to examine many conditions involving pathogen growth, immune-cell responses, antibody activity, inflammatory signaling, or antimicrobial and immunomodulatory compounds. Its higher throughput and reduced manual variability make it useful for systematically comparing responses and identifying conditions that merit further investigation.
The resulting data can support target identification, therapeutic discovery, and characterization of host-pathogen interactions. In infection studies, measurements may reveal changes in pathogen growth or antimicrobial activity. In immunology, they may help compare immune-cell, antibody, or inflammatory responses, providing a structured basis for interpreting many experimental conditions.