Data-matrix technology for multiparameter monitoring of cell cultures

Autor: Massimo Zambianchi, Emanuela Saracino, Marianna Barbalinardo, Maria Giovanna Di Carlo, Ana I. Borrachero-Conejo, Manuela Melucci, Laura Favaretto, Denis Gentili, Giulia Foschi, Massimiliano Cavallini, Marco Brucale, Francesca Lazzarotto, Davide Natalini, Valentina Benfenati, Francesco Valle, Paolo Greco
Přispěvatelé: Marianna Barbalinardo, Denis Gentili, Francesca Lazzarotto, Francesco Valle, Marco Brucale, Manuela Melucci, Laura Favaretto, Massimo Zambianchi, Ana I. Borrachero-Conejo, Emanuela Saracino, Valentina Benfenati, Davide Natalini, Paolo Greco, Maria Giovanna Di Carlo, Giulia Foschi, and Massimiliano Cavallini
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Small methods Online 2 (2018): 1700377. doi:10.1002/smtd.201700377
info:cnr-pdr/source/autori:Barbalinardo, Marianna; Gentili, Denis; Lazzarotto, Francesca; Valle, Francesco; Brucale, Marco; Melucci, Manuela; Favaretto, Laura; Zambianchi, Massimo; Borrachero-Conejo, Ana I.; Saracino, Emanuela; Benfenati, Valentina; Natalini, Davide; Greco, Paolo; Di Carlo, Maria Giovanna; Foschi, Giulia; Cavallini, Massimiliano/titolo:Data-Matrix Technology for Multiparameter Monitoring of Cell Cultures/doi:10.1002%2Fsmtd.201700377/rivista:Small methods Online/anno:2018/pagina_da:1700377/pagina_a:/intervallo_pagine:1700377/volume:2
DOI: 10.1002/smtd.201700377
Popis: 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.
Databáze: OpenAIRE