Automated Protocol
Automated Protocol - Related Videos
11:33
Using Tomoauto: A Protocol for High-throughput Automated Cryo-electron Tomography
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Cited by 48 •
2016
We present a protocol on how to utilize high-throughput cryo-electron tomography to determine high resolution in situ structures of molecular machines. The protocol permits large amounts of data to be processed, avoids common bottlenecks and reduces resource downtime, allowing the user to focus on important biological questions.
11:20
Automated Protocols for Macromolecular Crystallization at the MRC Laboratory of Molecular Biology
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Cited by 14 •
2018
Automated systems and protocols for the routine preparation of a large number of screens and nanoliter crystallization droplets for vapor diffusion experiments are described and discussed.
09:43
A Fully Automated Rodent Conditioning Protocol for Sensorimotor Integration and Cognitive Control Experiments
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Cited by 6 •
2014
A fully automated protocol for rodent operant conditioning is proposed. The protocol relies on precise temporal control of behavioral events to investigate the extent to which this control influences neural activity underlying sensorimotor integration and cognitive control experiments.
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.
06:24
Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology
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Cited by 9 •
2017
This manuscript describes a generic approach for tailor-made design of microbial cultivation media. This is enabled by an iterative workflow combining Kriging-based experimental design and microbioreactor technology for sufficient cultivation throughput, which is supported by lab robotics to increase reliability and speed in liquid handling media preparation.
FAQs
Software coordinates operations such as liquid transfer, reagent dispensing, mixing, incubation, washing, and measurement through defined parameters. These parameters specify how the instrument handles each stage, while sensors or programmed checks can help verify timing and volume consistency. This structured control makes the sequence repeatable across biological samples and supports standardized execution.
Reproducibility improves when the same programmed parameters govern each run. Automated timing and volume control reduce dependence on individual handling, which can otherwise introduce variation between samples or operators. This consistency is particularly valuable when laboratories process many samples, because comparable execution strengthens confidence in biological research results.
Timing, volume, and the sequence of operations are central control points. Liquid transfer and reagent dispensing depend on consistent volumes, while mixing, incubation, washing, and measurement must occur according to programmed parameters. Sensors or programmed checks can help maintain these conditions, supporting reliable processing across samples.
A typical workflow begins with software instructions that define the sequence and parameters. Instruments or robotic systems then perform liquid transfer, dispensing, mixing, incubation, washing, and measurement as specified. Sensors or programmed checks help monitor timing and volume consistency, producing a standardized process for the selected biological assay.
Applications include sample preparation, nucleic acid extraction, cell-based assays, and screening workflows. These uses benefit from handling many samples through the same programmed sequence, making the approach relevant to biological research, diagnostics, and biotechnology. Its value is greatest where laboratories need efficient processing alongside consistent execution across repeated experimental runs.
Automated protocols can produce more consistent timing and volume handling while reducing operator-dependent variation. In biological experiments, those features help laboratories standardize procedures and compare results across many samples. The resulting data can support research workflows, diagnostic activities, and biotechnology applications across repeated biological workflows.