High-throughput Injection
High-throughput Injection - Related Videos
11:28
3D Microtissues for Injectable Regenerative Therapy and High-throughput Drug Screening
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Cited by 7 •
2017
This protocol describes the fabrication of elastic 3D macroporous microcryogels by integrating microfabrication with cryogelation technology. Upon loading with cells, 3D microtissues are generated, which can be readily injected in vivo to facilitate regenerative therapy or assembled into arrays for in vitro high-throughput drug screening.
09:44
High-throughput Screening for Chemical Modulators of Post-transcriptionally Regulated Genes
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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.
06:19
High-Throughput Screening to Obtain Crystal Hits for Protein Crystallography
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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.
10:17
High-throughput and Comprehensive Drug Surveillance Using Multisegment Injection-Capillary Electrophoresis-Mass Spectrometry
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Cited by 5 •
2019
Here we describe a high-throughput method for comprehensive drug surveillance that allows for the improved resolution and detection of large panels of drugs of abuse and their metabolites, with quality control based on multisegment injection-capillary electrophoresis-mass spectrometry.
06:50
A High-Throughput Electrochemiluminescence 7-Plex Assay Simultaneously Screening for Type 1 Diabetes and Multiple Autoimmune Diseases
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Cited by 3 •
2020
We model a simple multiplexed ECL assay that combines 7 autoantibody assays together. The assay is capable of screening for T1D and multiple other autoimmune diseases, simultaneously, including celiac disease, autoimmune thyroid disease, and autoimmune polyglandular syndrome 1.
FAQs
Consistency depends on controlling volume, timing, and placement together. Automated positioning determines where delivery occurs, while calibrated needles or dispensing systems help maintain the intended volume. Controlled injection parameters coordinate when and how material is delivered. Managing these variables across replicates reduces technical variation, making differences between experimental conditions easier to compare.
Calibration is central because the dispensing component must support the intended volume across many samples. The system can pair calibrated needles or other dispensing systems with positioning controls. This combination addresses two separate sources of variability, delivery amount and location, so replicate samples receive more comparable treatment during large-scale experiments.
Parallelization changes the balance between experimental scale and manual effort. Handling many samples through a coordinated system limits repeated manual interventions, which can otherwise introduce differences in volume, timing, or placement. The resulting consistency is especially useful when a study compares numerous conditions and needs replicate measurements to reflect biology rather than handling differences.
A basic workflow begins with the cells, compounds, or other biological materials required for the experiment, followed by setup of the automated positioning and calibrated dispensing components. Researchers then control injection volume, timing, and placement as material is delivered across samples. Consistent settings and reduced manual handling support comparable replicates throughout the experiment.
In cancer research, the technique supports preparation of experimental models and screening assays. Those systems can be used to examine tumor biology, evaluate therapeutic candidates, or compare treatment responses. Its value is not limited to increasing sample number: standardized delivery helps researchers assess many conditions within one study while preserving comparability among samples.
The main experimental outcome is a larger, more consistent set of samples for comparison. Researchers can use the resulting preparation to compare conditions, investigate tumor-related biology, and assess how candidate treatments affect responses. Because delivery variables are controlled, observed differences can be interpreted with less concern that volume, timing, or placement varied between replicates.