High-throughput Testing
High-throughput Testing - Related Videos
09:44
High-throughput Screening for Chemical Modulators of Post-transcriptionally Regulated Genes
0 Views •
2015
Here we describe a cell-based reporter gene assay as a valuable tool to screen chemical libraries for compounds modulating post-transcriptional control mechanisms exerted through 3’ UTR.
09:09
High Throughput, Real-time, Dual-readout Testing of Intracellular Antimicrobial Activity and Eukaryotic Cell Cytotoxicity
0 Views •
Cited by 5 •
2016
A high throughput, real-time assay was developed to simultaneously identify (1) eukaryotic cell-penetrant antimicrobials targeting an intracellular bacterial pathogen, and (2) assess eukaryotic cell cytotoxicity. A variation on the same technology was thereafter combined with digital dispensing technology to enable facile, high-resolution, dose-response, and two- and three-dimensional synergy studies.
06:19
High-Throughput Screening to Obtain Crystal Hits for Protein Crystallography
0 Views •
Cited by 16 •
2023
This protocol details high-throughput crystallization screening, ranging from the 1,536 microassay plate preparation to the end of a 6 week experimental time window. Details are included about the sample setup, the imaging obtained, and how users can perform analyses using an artificial intelligence-enabled graphical user interface to quickly and efficiently identify macromolecular crystallization conditions.
08:30
A Novel High-Throughput Ex Vivo Ovine Skin Wound Model for Testing Emerging Antibiotics
0 Views •
2022
The protocol describes a step-by-step method to set up an ex vivo ovine wounded skin model infected with Staphylococcus aureus. This high-throughput model better simulates infections in vivo compared with conventional microbiology techniques and presents researchers with a physiologically relevant platform to test the efficacy of emerging antimicrobials.
07:47
Anxiety Testing
0 Views •
2023
Anxiety is a commonly observed behavioral disorder that stems from fear. It is described as increased restlessness, or unpleasant feelings of fear over anticipated events. Experimenters often use rodent models to better understand anxiety disorders in humans. They use different paradigms, like exposing rodents to bright spaces or loud sounds, which are known to induce fear. These tests combined with other interventions such as surgery or drug-administration may assist researchers in pinpointing...
FAQs
Miniaturized assays reduce the amount of biological material needed for each measurement, while automation and robotics coordinate repeated handling across many samples or conditions. Standardized workflows then limit variation introduced by manual processing. Together, these features make measurements more consistent and allow immune or infectious responses to be compared systematically rather than assessed one sample at a time.
Computational analysis converts measurements from many parallel assays into organized datasets that support quantitative comparison. It is especially important when experiments examine multiple antibody responses, cytokines, host-pathogen interactions, or treatment conditions simultaneously. Combined with quality control, analysis helps distinguish interpretable patterns from inconsistent measurements and supports mechanistic studies of complex immune and infectious processes.
Lower sample requirements can make large experimental comparisons more practical, particularly when biological material is limited. Processing many conditions in parallel also reduces the time needed to obtain comparable measurements. These efficiencies support broader testing of immune responses, infectious processes, and candidate interventions while preserving a systematic framework for comparing results.
A workflow commonly links a miniaturized assay format with automated or robotic processing, standardized operating steps, quality-control measures, and computational data analysis. The assay generates measurements across samples or conditions; automation supports consistent processing; quality control checks reliability; and analysis organizes the results for comparison. This coordinated sequence is central to obtaining usable high-volume data.
In this field, researchers can compare antibody or cytokine responses across many samples, examine host-pathogen interactions, evaluate antimicrobial or antiviral compounds, and search for diagnostic biomarkers. The same general approach therefore supports both basic and applied questions, linking measurements of immune activity or infection-related processes with candidate diagnostics, therapeutics, or vaccines.
Results can provide quantitative comparisons among experimental conditions and reveal patterns that guide mechanistic studies. In immunology and infection research, those findings may contribute to identifying diagnostic biomarkers or evaluating candidates relevant to therapeutics and vaccines. The value extends beyond speed: standardized, scalable measurements create datasets that help researchers decide which biological responses or interventions merit further study.