Liquid Handler Optimization
Liquid Handler Optimization - Related Videos
08:24
Optimization of the Ugi Reaction Using Parallel Synthesis and Automated Liquid Handling
0 Views •
Cited by 5 •
2008
The Ugi reaction has proved to be a convenient way to quickly create diverse libraries of compounds. It involves the reaction of an amine, an aldehyde, a carboxylic acid and an isonitrile typically in methanol at room temperature. In this video, we utilize a 48-slot Mettler-Toledo MiniBlock equipped with filtration tubes and a Mettler-Toledo MiniMapper automated liquid handler was used to deliver the reagents and solvent. The parameters of interest were the concentration, the solvent...
11:58
Optimizing the Use of a Liquid Handling Robot to Conduct a High Throughput Forward Chemical Genetics Screen of Arabidopsis thaliana
0 Views •
Cited by 10 •
2018
A high throughput screen of synthetic small molecules was conducted on the model plant species, Arabidopsis thaliana. This protocol, developed for a liquid handling robot, increases the speed of forward chemical genetics screens, accelerating the discovery of novel small molecules affecting plant physiology.
08:00
Scalable 96-well Plate Based iPSC Culture and Production Using a Robotic Liquid Handling System
0 Views •
Cited by 22 •
2015
The protocols described allow laboratories to perform scalable, adherent stem cell culture in high throughput with minimal labor, experience and equipment investment cost using a programmable liquid handling robot and 96-well plates. iPSCs passaged more than 20 times on this system maintained pluripotency, normal karyotypes and differentiated into cardiomyocytes.
10:47
High-throughput, Automated Extraction of DNA and RNA from Clinical Samples using TruTip Technology on Common Liquid Handling Robots
0 Views •
Cited by 11 •
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.
11:22
Automated Robotic Liquid Handling Assembly of Modular DNA Devices
0 Views •
Cited by 19 •
2017
Here, an automated workflow to perform modular DNA "device" assembly using a modular cloning DNA assembly method on liquid-handling robots is presented. The protocol uses an intuitive software tool for generating liquid handler picklists for combinatorial DNA device library generation, which we demonstrate using two liquid handling platforms.
FAQs
Reliable transfer performance depends on matching aspiration and dispensing parameters to the liquid being handled and the intended volume. These settings work together with pipette-tip selection, labware geometry, and liquid-level detection to reduce transfer errors. Proper matching is especially important when workflows include liquids with different viscosities, because unsuitable settings can reduce accuracy, precision, or reproducibility.
Liquid volume and viscosity affect how the system should perform a transfer, while labware geometry influences how the pipette tip accesses and releases liquid. Liquid-level detection must also correspond to the handling conditions. Considering these variables together allows optimization to address the physical behavior of the sample rather than applying identical settings across every reagent or container.
Calibration establishes whether the automated system operates according to its intended transfer settings, while performance testing reveals the errors that remain during actual handling. Reviewing these results helps identify adjustments needed for more accurate and precise transfers. This verification step supports reproducible workflows and provides evidence that an automated protocol is ready for consistent experimental use.
Begin by considering the transfer volume, liquid viscosity, pipette-tip selection, labware geometry, and liquid-level detection requirements. Adjust aspiration and dispensing parameters to match those conditions, then use calibration and performance testing to evaluate transfer errors. Iteratively refining the settings creates a workflow that is more accurate, precise, efficient, and suitable for repeated experimentation.
Optimization is particularly valuable when a protocol moves from manual procedures to an automated platform or when experiments require repeated, high-throughput transfers. Reagent preparation, cell-based assays, and nucleic-acid processing can all depend on consistent handling. Establishing suitable settings before scaling helps conserve samples, improve reproducibility, and prevent transfer-related variation from affecting larger experimental runs.
In bioengineering, optimized handling supports reagent preparation, cell-based assays, nucleic-acid processing, and high-throughput experimentation. More consistent transfers improve reproducibility and conserve limited samples, while efficient automation enables protocols to scale. These improvements reduce avoidable handling variation, strengthen the quality of resulting data, and help laboratories perform larger experiments with greater operational consistency.