A recent webinar explored how AI-based viable cell density (VCD) is revolutionizing cell counting in CLD. VCD is at the center of all CLD decisions, including seeding, clone rating, scale-up timing, and feed strategy.
Traditional approaches are time-consuming and inefficient. An average mid-sized CLD lab uses approximately 150,000 pipette tips each year, along with stacks of dilution plates and chemicals. These laboratories spend an estimated 20,000 to 30,000 euros on consumables and hands-on time.
The webinar discussed the new AI-based VCD capability on the UP.SIGHT, which continues the platform's progression from a single-cell dispenser to an all-in-one CLD analytical instrument.
The webinar explored how:
- The UP.SIGHT function minimizes dilutions, replicates, and pipetting
- Cytena delivers results 10 times faster, allowing for same-day clone-panel decisions rather than overnight delays
- Cytena removes data silos by centralizing clone data in C.STUDIO campaign management software.
A webinar in two parts
Part 1: The science and validation data, with a walkthrough of the AI-based VCD validation data
Part 2: How the AI model was built, including a high-level overview of training data curation, model architecture, and validation method
About the speakers
Dr Jamin J. Jung
Dr Jamin J. Jung is a cell biology specialist at CYTENA with a PhD in cell biology and 12 years’ experience in advanced microscopy.
Vatsal Harshadbhai Bambhania
Vatsal Harshadbhai Bambhania is an AI Engineer at CYTENA, specialising in the development and application of AI-driven solutions for automated cell analysis.