CellXpress.ai: Machine learning powered system for automation of complex 2D and 3D cell culture workflows.

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Bibliographic Details
Title: CellXpress.ai: Machine learning powered system for automation of complex 2D and 3D cell culture workflows.
Authors: Sirenko O; Molecular Devices, LLC, 3860 North First St., San Jose, CA 95134, United States. Electronic address: oksana.sirenko@moldev.com., Michlmayr A; Molecular Devices, LLC, 3860 North First St., San Jose, CA 95134, United States., Macha P; Molecular Devices, LLC, 3860 North First St., San Jose, CA 95134, United States., Grund-Gröschke S; Molecular Devices, LLC, 3860 North First St., San Jose, CA 95134, United States., Tong Z; Molecular Devices, LLC, 3860 North First St., San Jose, CA 95134, United States., Lim A; Molecular Devices, LLC, 3860 North First St., San Jose, CA 95134, United States., Keidel E; Molecular Devices, LLC, 3860 North First St., San Jose, CA 95134, United States., Gonzaga B; Molecular Devices, LLC, 3860 North First St., San Jose, CA 95134, United States., Lindner M; Molecular Devices, LLC, 3860 North First St., San Jose, CA 95134, United States., Fischer V; Molecular Devices, LLC, 3860 North First St., San Jose, CA 95134, United States., McMillan J; Molecular Devices, LLC, 3860 North First St., San Jose, CA 95134, United States., Carter N; Molecular Devices, LLC, 3860 North First St., San Jose, CA 95134, United States., Spira F; Molecular Devices, LLC, 3860 North First St., San Jose, CA 95134, United States.
Source: SLAS technology [SLAS Technol] 2026 Jul; Vol. 39, pp. 100427. Date of Electronic Publication: 2026 May 06.
Publication Type: Journal Article
Journal Info: Publisher: SAGE Publications Country of Publication: United States NLM ID: 101697564 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2472-6311 (Electronic) Linking ISSN: 24726303 NLM ISO Abbreviation: SLAS Technol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2472-6311
DOI:10.1016/j.slast.2026.100427