Automation Software Improves Speed and Accuracy of Cell Line Development

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High-throughput screening is a mainstay for cell line development. However, the complex instruments used for high-throughput methods have many moving parts, and automation is essential to streamline and accelerate the process. By minimizing human intervention, sophisticated software can simplify workflows, decrease errors and free up laboratory staff for other tasks.

Still, early efforts to automate this process have often fallen short. Scientists have to circle back frequently to handle plates, reprogram software and ensure the process is running smoothly. Once the instruments have identified potential hits, users must again step in, transferring these promising wells to lower-density plates for further growth.  

This persistent need for human intervention can put entire runs at risk. If users select the wrong transfer map, sending potential hits to an incorrect destination plate, the run may have to be scrapped, and the team has to start over.

Green Button Go™ Automation Scheduling Software, from Biosero, is a good example of a new class of automation technology that gives users full control over scheduling and imaging. The software automatically collects confluence data and analyzes those values, hit-picking and seamlessly transferring those hits to the next instrument.

Ease of Use Drives Efficiency

Green Button Go software has several features to help biotech researchers apply automation to high-throughput screening. The first is an easy-to-use interface. Operators can work from a single screen to start a run (See Figure 1). From there, they may not have to intervene until it’s time to collect results.

Operators can readily schedule imaging days for multiple groups, assign group IDs, set start times, indicate quantities for source and destination plates, select storage incubators and provide confluence thresholds to identify hits. The software also gives researchers the ability to push imaging data to the company network for safekeeping and analysis.

Researchers can select which days they want to run an image and specify text strings to link plates together. Multiple users can also use the software to order the transfer of plates from the incubator to the imager at specified times or simultaneously. Using different group IDs and cell lines, they can ensure these expensive systems operate at their highest efficiency.

Because it’s device-agnostic, the software integrates with any screening instrument, as well as other lab information management software (LIMS).

Automatic Hit Transferring

After sample imaging has completed the software compares the confluence goal assigned by lab operators during the initial setup with the imaging results (Figure 2). Based on this analysis, it selects the most successful cells and transfers them from 384-well to 96-well plates, giving them more room to grow as well as reducing the number of days to analyze, expediting processing.

Figure 1

Figure 2

After sample imaging is completed the software compares the confluence goal assigned during the initial setup so that successful cells can be transferred with hit-picking.


The image evaluation feature identifies wells that exceed the confluence threshold and adds them  to a transfer list, generating an imaging report file (Figure 3) and assessing how many destination  plates are needed. The report data includes barcodes, timestamps, well locations and the  confluence value for each well on the source plate.

In addition to automatically evaluating whether there are enough hit candidates to fill the required destination plates, the software gives higher priority to the source plates with the most hits, automatically processing them first.

The software creates a list of candidates and converts that into a transfer map for the liquid handler, which applies the map automatically. As a result, users don’t need to worry about selecting the wrong maps and possibly dispensing samples in an incorrect destination plate.

Also, Green Button Go software keeps close track  of source and destination plates. If the liquid  handler can only hold two destination plates – but needs five – the software schedules additional runs  to fill the necessary destination plates. It can also assess whether a source plate has already been processed while the destination plate still has  empty wells, allowing it to take cells from a different plate. Throughout the process, data is driving  decision-making.

Figure 3

Data Security

Many labs must keep pristine digital records to maintain 21 CFR part 11 compliance. Green Button Go software is available in a version that is 21 CFR part 11 compliant. Its features to enhance data security and closely track the chain of custody simplify audits.

Well-designed software can automate cell line development, from scheduling all the way through imaging, data analysis and cell picking freeing up  researchers to plan and  analyze valuable experiments.

The software allows administrators to set user  permission levels, as well as control password rules and expiration. It also records log files and timestamps each login (or attempt).

The Fruits of Automation

The mechanics of cell line development are complex, but they don’t have to be all-consuming. Well-designed software can automate the process from scheduling all the way through imaging, data  analysis and cell picking freeing up researchers to plan and analyze valuable experiments.

Providing additional walk away time boosts efficiency. Lab technicians spend less time parenting the cell-picking machinery and can confidently perform other tasks while the software takes on the rote processes. The reduced human intervention also lessens the risk of mistakes.

Together, these refinements improve the efficiency and quality of work-life in the lab, make the cell line development process run more smoothly and produce better results.

To schedule a demonstration of Green Button Go software, call (858) 880-7376 or email info@biosero.com

As published in Drug Discovery News.

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