In this free webinar, learn how new artificial intelligence-driven imaging technology is being used to identify single cells automatically on day 0, saving days to weeks of labor and time and accelerating IND submissions. The featured speakers will present data showing the performance of an artificial intelligence (AI) neural network for identifying multiple cell types.
TORONTO, Jan. 5, 2023 /PRNewswire-PRWeb/ -- In Cell Line Development until now, identification of single cells after seeding meant waiting for days/weeks until colonies grow and working backwards through the daily images. For limiting dilution experiments, it's only after those days/weeks have elapsed that issues may become visible, for example if no colonies grow due to seeding with a too-dilute cell suspension. Now, by applying artificial intelligence (AI) to these problems, single cell clones are identified automatically immediately after seeding.
In this webinar, the featured speakers will show how Solentim's clonal imaging technology was combined with a trained neural network to automatically identify single cells reliably. The presented data will demonstrate the degree of accuracy and consistency of the AI network across different cell lines and show how users of limiting dilution and automated seeders alike can shorten their development timelines by weeks and accelerate IND submission.
Join experts from Advanced Instruments, LLC., Paul Butler, Senior Product Leader; Anna Davidson, Lead Computational Biologist; and Camilla Domeneghetti, Biology Manager to learn how artificial intelligence can enable the identification of single cells without the wait times.
Participants can select from 2 live broadcasts. Register to attend the Europe/Asia broadcast on January 19, 2023 at 9am GMT (5pm China), or click here for the North America broadcast at 12pm EST.
For more information, or to register for this event, visit Using Artificial Intelligence (AI) to Identify Clonally Derived Cell Lines. See the Future Today (Broadcast 1).
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Contact:
Vera Kovacevic
Tel: +1 (416) 977-6555 x371
Email: [email protected]
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Vera Kovacevic, Xtalks, +1 (416) 977-6555 x371, [email protected]
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