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Data‐Matrix Technology for Multiparameter Monitoring of Cell Cultures
Author(s) -
Barbalinardo Marianna,
Gentili Denis,
Lazzarotto Francesca,
Valle Francesco,
Brucale Marco,
Melucci Manuela,
Favaretto Laura,
Zambianchi Massimo,
BorracheroConejo Ana I.,
Saracino Emanuela,
Benfenati Valentina,
Natalini Davide,
Greco Pierpaolo,
Di Carlo Maria Giovanna,
Foschi Giulia,
Cavallini Massimiliano
Publication year - 2018
Publication title -
small methods
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.66
H-Index - 46
ISSN - 2366-9608
DOI - 10.1002/smtd.201700377
Subject(s) - matrix (chemical analysis) , computer science , code (set theory) , microbiology and biotechnology , computational biology , biological system , chemistry , biology , chromatography , set (abstract data type) , programming language
A data‐matrix (DM)‐technology approach in cell biology is implemented as an efficient method for the multiparameter monitoring of cell cultures. The proposed method takes advantage of the know‐how developed for fault tolerance in digital information technology by measuring the amount of errors induced by intervening cells upon checking a DM code placed behind them. It gives continuous access to several quantitative parameters of the observed culture, such as cell coverage, mean size, viability, and transfection efficiency.