Problem: Laboratories are faced with challenges when it comes to storing and tracking samples. 

Problem: Many service or contract laboratories need to process the same sets of samples on a regularly-scheduled basis. In addition, many processes within factories of various types require collection of samples at pre-set dates and times to ensure the quality of the product being produced. One example is collection of air and surface samples to test the sterility of rooms used in the production of pharmaceuticals, foods, and medical devices. Another example is collection of samples during beer production. The task of logging these samples into a LIMS (laboratory information management system) can be cumbersome and time-consuming and it is easy to miss collection of a scheduled sample. Although these are two entirely different scenarios, both require the same basic scheduling of multiple sample collections. 

Problem: At this very moment across the United States, thousands of digital eyes watch over laboratory equipment. It’s nothing scary; it’s the way we protect fragile samples from being damaged or destroyed. From facilities stocked with vaccines for the flu season ahead, to embryos frozen for future fertility treatments, life and livelihoods are literally on the line. For this reason, laboratories use continuous monitoring systems to closely watch over the environment of their specimens during experimental, growth and storage phases.

Problem: At the crossroads of understanding cell physiology, disease pathology and etiology lies cell metabolism, encompassing the cellular set of life-sustaining chemical transformations. Dysregulation of cell metabolism is now known to be a common component of cancer, immunology, obesity, diabetes, and neurodegenerative disease. This is because mitochondrial respiration and glycolysis are the major sources of life-sustaining and biosynthetic processes for the cell, specifically energy in the form of ATP (adenosine triphosphate) and macromolecules such as membranes, nucleotides, transporters, organelles, etc. Metabolic pathways are increasingly considered as potential therapeutic targets. Therefore, the ability to measure and understand cellular bioenergetics can provide valuable insight into disease and contribute to the potential identification of drug discovery targets. 

Problem: Scientists must typically rely on high-end cell sorters in core facilities to run their samples. These cell sorters—equipped with five or more lasers and double digit detection channels—were originally utilized to answer pressing questions arising in the immunology field. However, they are overly complex for the new breed of user who sorts cells today: cell biologists and biochemists who employ fluorescent proteins and require at most four colors and one-to-two population sorting. The challenge is that as demand increases, the number of staff available to operate these complex instruments remains the same. As a result, wait times at core facilities have ballooned, literally putting research on hold until capacity is available. For the more than half of today’s cell sorting users who require four colors or
fewer sorts, the elaborate equipment is becoming a bottleneck. 

Problem: Achieving successful PCR (polymerase chain reaction) results requires proper control of many factors and parameters. The yield—quantity and quality—of amplified DNA is often essential for downstream applications and ultimately successful completion of experimental research. PCR reagents, consumable sample vessels, and the thermal cycler instrument must all be properly chosen for the specific PCR application, and must also meet quality and performance requirements. In addition to these components that must work correctly in conjunction, sample preparation is typically done manually and must be done with care and accuracy.

Problem: An emergency spill response plan is part of every laboratory safety protocol. However, despite all the best precautions, accidents can happen! Laboratories often house chemicals such as acids, bases, solvents and flammables—all of which can be toxic to human health and the environment if used incorrectly or spilled.

Problem: The assessment of cell concentration and viability is an important step in the characterization of cell health. This information can be used for monitoring proliferation rates, optimizing growth conditions and normalizing cell data for further studies, such as assessing the impacts of cytotoxic compounds.

Current methods rely on multiple, sometimes complex, instrument platforms to provide these answers, reducing flexibility and increasing research costs. Other, simpler methods provide inconsistent results due to their dependence on single-uptake dyes, which do not effectively discriminate between the various states of cell demise. As a result, there is a crucial need for analytical methods that efficiently provide reproducible count and viability data.

Problem: In recent years, cell biology has included more emphasis on the study of rapid movement inside live cells: its dynamics, mechanisms, electrochemical signaling and protein transport. To capture these events while avoiding image artifacts, frame rates must be high enough to accurately sample these cellular phenomena. Depending on the event, these rates can range from 20 to several thousand frames per second with exposure times well below 100ms.

Problem: Research, QA/QC, and other laboratories ranging from large enterprise facilities to small analytical service centers are under increasing pressure to reduce costs and increase efficiency, productivity, and  quality. To reduce operating costs, lab managers know they must find ways to speed turn-around and maximize throughput. To improve productivity and quality, it’s essential for them to easily access information that will allow them to efficiently staff the laboratory, allocate assets, and optimize workflows while adhering to strict quality standards and ensuring regulatory compliance.

Problem: There has been an explosion in the growth of information. So much growth, that traditional informatics solutions are no longer sufficient. The labs of today, and most certainly the labs of tomorrow, need new tools to gather the data generated, make sense of it and turn it into actionable knowledge.

Problem: PCR is used to detect or quantify nucleic acid sequences in research and diagnostic settings. While high specificity is often achieved, experimental design sometimes necessitates that primers be placed in suboptimal locations. This can lead to problems like the formation of primer dimers or off-target amplification of homologous sequences. The formation of primer dimers consumes primers and other reaction components, which can result in reduced target amplification. These structures can also generate false positive signals in real-time PCR assays that use DNA intercalating dyes to monitor amplification. Off-target amplification is particularly problematic with low copy-number targets because of the high number of cycles required for amplification and in multiplex assays, where many different primers must function well together.