ReviewEngineering in life sciences2022
Advances in automated real-time flow cytometry for monitoring of bioreactor processes.
Review in Engineering in life sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- A double-staining automated flow cytometry method for real-time monitoring of bacteria in continuous bioreactors.NPJ systems biology and applications · 2026Article
- Application of process analytical technology for real-time monitoring of synthetic co-culture bioprocesses.Analytical and bioanalytical chemistry · 2025Review
- Monitoring of the Single-Cell Behavior of anBiotech (Basel (Switzerland)) · 2025Article
- Comparative Approaches for Quantification of Product Yield in the Production of Recombinant Green Fluorescent Protein (GFPuv) Expressed inbioRxiv : the preprint server for biology · 2025Article
- A Hybrid Soft Sensor Approach Combining Partial Least-Squares Regression and an Unscented Kalman Filter for State Estimation in Bioprocesses.Bioengineering (Basel, Switzerland) · 2025Article
- Recent advances in yeast and bacteria co-cultivation for bioprocess applications.World journal of microbiology & biotechnology · 2025Review
- Quantifying microbial robustness in dynamic environments using microfluidic single-cell cultivation.Microbial cell factories · 2024Article
- Automated yeast cultivation control using a biosensor and flow cytometry.Journal of industrial microbiology & biotechnology · 2024Article
- Transcriptional biomarker discovery toward building a load stress reporting system for engineered Escherichia coli strains.Biotechnology and bioengineering · 2024Article
- Application of anEngineering in life sciences · 2023Article
- Advances in automated real-time flow cytometry for monitoring of bioreactor processes.Engineering in life sciences · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.