Unlocking the secrets of cellular immunogenicity: A deep dive in ELISpot assays

A colorized scanning electron micrograph of a T cell from NIAID.

Next generation therapies and vaccine research have recently dominated headlines and scientific discovery. This research and its ability to treat previously untreatable conditions has rightfully excited the scientific and medical communities worldwide. But the complexities involved require a nuanced approach to ensure the treatment is safe and effective. Integrating cell culture into cellular immunity testing can be challenging, which is why the bioanalytical community has sought options beyond traditional immunoassays. Enter ELISpot assays.

ELISpot assays boast unprecedented sensitivity and specificity. They could legitimately shape the future of cellular immunogenicity testing. As scientists push the boundaries of drug discovery and development, they will inevitably turn to the best tools available. ELISpot assays, with their unique capabilit…

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Science unbound: AI and open data accelerate the pace of discovery

[Tartila/Adobe Stock]

Scientists have long been perceived and portrayed in film as old people in white lab coats perched at a bench full of bubbling fluorescent liquids. The present-day reality of scientific research is quite different from old stereotypes, with AI-driven scientific breakthroughs emerging as a major driving force behind new discoveries. Scientists are increasingly data jockeys in hoodies sitting before monitors analyzing enormous amounts of data. Modern day labs are more likely composed of sterile rows of robots doing the manual handling of materials, and lab notebooks are now electronic, in massive data centers holding vast quantities of information. Today, scientific input comes from data pulled from the cloud, with algorithms fueling scientific discovery the way bunsen burners once did.

Advances in technology and especially instrumentation, enable scientists to collect and process data at an …

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