Serial dilutions, especially serial dilution matrices, are a common way for scientists to rapidly identify an optimal reagent concentration. We offer an improved productivity workflow for research related to small molecules, biologics, advanced therapies, and for everything from discovery to process R&D.
Setting up serial dilution plates is not straightforward. Many have variable dilution ratios, making pipetting less simple. They also require multiple pipetting actions, increasing the risk of cross-contamination and human error. And having highly skilled researchers prepare these routine plates wastes an organisation’s time and money.
One solution is to invest into automation equipment such as the Hamilton STAR, the Tecan EVO or the Gilson PipetMax. Many labs imagine automating a variety of complex experiments to justify the purchase of one of these liquid handling units. Unfortunately, the low-level programming on liquid handling robots only allows workflows with fixed parameters. Furthermore, programming serial dilution matrices can be time-consuming up front and impractical to rebuild if protocol changes are needed such as the concentration gradient, number of samples, or types of plate used .
We personally experienced these frustrations. That’s why we developed Antha.
In a real client project using our software, a growth medium containing multiple sources of components X and Y was investigated across a range of intervals – the operating range of the factors.
Our software was used to rapidly set-up and simulate a serial dilution plate in matrix format before controlling the automation, leading to an efficient digital-to-physical translation.
Synthace’s software distributed multiple growth medium components, including the two variables of interest, across a 384-well plate according to a simple design from an Excel spreadsheet.
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Applications in Cell and gene therapy
Increase yield, throughput and purity by delivering cell and gene therapy applicatiosn through Synthace's software.
Data Integration and Management
What of all the data that or could be, captured in biological research and development?