Curiosity is the primary driver of science. But developing natural curiosity into scientific thinking and motivation to uncover the endless wonders of nature is a difficult task.
The Information Technology Revolution of the 20th century transformed how we live and think today. Smartphones and computers are embedded in our work and daily life. The development of digital competence is included in the vast majority of countries with computer programming, coding, and informatics education.
But what’s next is even more exciting as we approach the start of the biological revolution, fueling a radical wave of innovation.
Needs for life science technologies
The threats of the pandemic accelerated biological researchers and public interest in understanding cells, viruses, genomics and proteomics. Still, it is impossible to imagine modern life sciences without advanced technologies required to study biological processes.
Terms like DNA sequencing, microscopy and liquid-chromatography mass spectrometry (LC-MS) are familiar nowadays to academics and researchers and a wider community that sees the value and applicability to real-life problems.
While new technologies enable discoveries, the technology development process is often based on the needs and requirements defined by scientific pioneers or emerging society needs.
Technology designed for what is needed now and in the foreseeable future
The development was driven by the demand of discovery scientists to increase performance by bringing more separation power , enhance reproducibility , robustness, and speed for large sample cohorts analysis  and provide ease of use to “democratize” low-flow LC-MS analysis .
But in the end, the combination of technologies and built-in intelligence resulted in the all-in-one system, opening new frontiers in ultra-sensitive single-cell LC-MS proteomics, clinical research and precision medicine.