Open AccessAdvances in automated real‐time flow cytometry for monitoring of bioreactor processes
Author(s) -
Heins AnnaLena,
Hoang Manh Dat,
WeusterBotz Dirk
Publication year - 2022
Publication title -
engineering in life sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.547
H-Index - 57
eISSN - 1618-2863
pISSN - 1618-0240
DOI - 10.1002/elsc.202100082
Subject(s) - bioprocess , population , computer science , bioreactor , sorting , sample (material) , automation , cell sorting , process (computing) , data mining , process engineering , real time computing , biological system , engineering , flow cytometry , biology , algorithm , chemistry , mechanical engineering , botany , demography , genetics , chromatography , chemical engineering , sociology , operating system
Flow cytometry and its technological possibilities have greatly advanced in the past decade as analysis tool for single cell properties and population distributions of different cell types in bioreactors. Along the way, some solutions for automated real‐time flow cytometry (ART‐FCM) were developed for monitoring of bioreactor processes without operator interference over extended periods with variable sampling frequency. However, there is still great potential for ART‐FCM to evolve and possibly become a standard application in bioprocess monitoring and process control. This review first addresses different components of an ART‐FCM, including the sampling device, the sample‐processing unit, the unit for sample delivery to the flow cytometer and the settings for measurement of pre‐processed samples. Also, available algorithms are presented for automated data analysis of multi‐parameter fluorescence datasets derived from ART‐FCM experiments. Furthermore, challenges are discussed for integration of fluorescence‐activated cell sorting into an ART‐FCM setup for isolation and separation of interesting subpopulations that can be further characterized by for instance omics‐methods. As the application of ART‐FCM is especially of interest for bioreactor process monitoring, including investigation of population heterogeneity and automated process control, a summary of already existing setups for these purposes is given. Additionally, the general future potential of ART‐FCM is addressed.