Automated Workstation
Automated Workstation - Related Videos
07:12
A Plasma Sample Preparation for Mass Spectrometry using an Automated Workstation
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Cited by 26 •
2020
Here, we present an automated plasma protein digestion method for mass spectrometry-based quantitative proteomic analysis. In this protocol, the liquid transferring and incubation steps for protein denaturation, reduction, alkylation, and trypsin digestion reactions are streamlined and automated. It takes approximately five hours to prepare a 96-well plate with desired precision.
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.
10:47
High-throughput, Automated Extraction of DNA and RNA from Clinical Samples using TruTip Technology on Common Liquid Handling Robots
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Cited by 13 •
2013
TruTip is a simple nucleic acid extraction technology whereby a porous, monolithic binding matrix is inserted into a pipette tip. Consequently, the sample preparation format is compatible with most liquid handling instruments, and can be used for many medium to high-throughput clinical applications and sample types.
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.
13:26
Automated Gel Size Selection to Improve the Quality of Next-generation Sequencing Libraries Prepared from Environmental Water Samples
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Cited by 9 •
2015
This manuscript describes an automated gel size selection approach for purifying DNA fragments for next-generation sequencing. The Ranger Technology provides complete automation of the entire process of agarose gel loading, electrophoretic analysis, and recovery of targeted DNA fragments allowing for high-throughput and high quality next-generation sequencing libraries.
FAQs
Integrated software coordinates the timing and movement of robotic modules while directing liquid handling, sample transfer, reagent dispensing, incubation, and measurement. This coordination lets separate operations follow a predefined protocol in the intended sequence. Data capture is integrated into the same workflow, linking experimental actions with recorded results and strengthening traceability across samples.
Precise timing and movement controls reduce variation introduced by inconsistent manual handling. When samples and reagents receive the intended processing sequence, repeated runs become more comparable. That consistency is particularly valuable for workflows such as cell culture, assay development, and biomaterial testing, where small differences in handling can complicate interpretation and weaken reproducibility.
By coordinating repeated operations across many samples, an Automated Workstation enables parallel processing rather than relying on sequential manual handling. This increases throughput while applying the same predefined protocol to each sample. The resulting consistency helps researchers scale experiments, compare conditions more systematically, and generate larger datasets for engineering biological systems.
A workflow can combine liquid handling, sample transfer, reagent dispensing, incubation, and measurement under software-directed control. Researchers can arrange these operations according to a predefined protocol, allowing routine steps to proceed with limited manual intervention. Integrating several stages reduces the need to move samples between disconnected manual tasks and supports more continuous experimental processing.
The approach is useful when a bioengineering protocol requires precise, repeatable processing across many samples. Supported examples include cell culture, assay development, and biomaterial testing. Automation is especially relevant when researchers need to scale a workflow, limit manual variability, or compare multiple experimental samples under consistently applied processing conditions.
These workflows can provide more consistent processing, higher experimental throughput, and improved traceability of actions and measurements. Together, those outcomes support stronger reproducibility and more reliable data. In bioengineering, the resulting records and comparisons can help researchers evaluate engineered biological systems through scaled cell culture, assay, or biomaterial experiments.