Bournemouth, UK (Scicasts) – Solentim, a provider of high resolution imaging for fast clone selection, has announced the new Cell Metric CLD bench top system, optimised to provide fast, reliable and automated cell line development (CLD).
ccording to the announcement, the high resolution offered by Cell Metric’s unique cell imaging and analysis system offers an alternative approach to manually checking cell line monoclonality, providing the fast, unequivocal identification, qualification and tracking of clones derived from single cells. The proven Cell Metric platform is paired with an integrated stacker system to form the new Cell Metric CLD.
Using high resolution imaging that offers three times as many pixels as previous generation cell imaging instruments, Solentim’s Cell Metric CLD system generates clear images of cells taken soon after seeding or sorting, providing confidence that a colony has grown from a single cell, outlines the company. Moreover, continual imaging during early colony growth means that any wells containing multiple colonies can be quickly identified and eliminated. The system also benefits from an automatic focus, ensuring that images are clear, consistent and informative. The ability to easily distinguish between pairs of close-proximity cells and debris, coupled with uniform, clear imaging right up to the well edge, provides complete assurance that you start with a single cell per well. Importantly, such early, accurate and reliable evidence can eliminate the need for a second round of sub-cloning, providing a saving of up to 10 weeks in the development of a new cell line.
Further to the announcement, the Cell Metric CLD’s integrated, temperature-controlled microplate stacker allows for the automated imaging of a batch of up to ten plates at a time, without consuming precious bench space. This increases throughput and reduces the need for user intervention during cell line development. With a throughput of up to 100 plates a day, the new stacker enables a substantial number of wells to be imaged and documented, maximizing the efficient use of time and resources during the cell line development process.