The feasibility of automated online flow cytometry for in-situ monitoring of microbial dynamics in aquatic ecosystems.
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Biological Stability of Drinking Water: Controlling Factors, Methods, and Challenges.Fluorescent Reporter Libraries as Useful Tools for Optimizing Microbial Cell Factories: A Review of the Current Methods and ApplicationsOnline flow cytometry reveals microbial dynamics influenced by concurrent natural and operational events in groundwater used for drinking water treatmentMetabolic network modeling of microbial communities.Long-Term Bacterial Dynamics in a Full-Scale Drinking Water Distribution SystemInteractions of Freshwater Cyanobacteria with Bacterial AntagonistsBacterial characterization of Beijing drinking water by flow cytometry and MiSeq sequencing of the 16S rRNA gene.Taking control over microbial populations: Current approaches for exploiting biological noise in bioprocesses.A novel, optical, on-line bacteria sensor for monitoring drinking water quality.Laboratory-Scale Simulation and Real-Time Tracking of a Microbial Contamination Event and Subsequent Shock-Chlorination in Drinking Water.Flow cytometric quantification, sorting and sequencing of methanogenic archaea based on F420 autofluorescence.Flow cytometric fingerprinting for microbial strain discrimination and physiological characterization.Deconvolution model to resolve cytometric microbial community patterns in flowing waters.Evaluating Monitoring Strategies to Detect Precipitation-Induced Microbial Contamination Events in Karstic Springs Used for Drinking Water.Phylogenetic clustering of small low nucleic acid-content bacteria across diverse freshwater ecosystems.Long-Term Effects of Residual Chlorine on Pseudomonas aeruginosa in Simulated Drinking Water Fed With Low AOC Medium.Opening the black box of spring water microbiology from alpine karst aquifers to support proactive drinking water resource management.Quantifying cell densities and biovolumes of phytoplankton communities and functional groups using scanning flow cytometry, machine learning and unsupervised clustering.Implementing and Innovating Marine Monitoring Approaches for Assessing Marine Environmental StatusMultiplatform Physiologic and Metabolic Phenotyping Reveals Microbial Toxicity
P2860
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P2860
The feasibility of automated online flow cytometry for in-situ monitoring of microbial dynamics in aquatic ecosystems.
description
2014 nî lūn-bûn
@nan
2014 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
The feasibility of automated o ...... ynamics in aquatic ecosystems.
@ast
The feasibility of automated o ...... ynamics in aquatic ecosystems.
@en
type
label
The feasibility of automated o ...... ynamics in aquatic ecosystems.
@ast
The feasibility of automated o ...... ynamics in aquatic ecosystems.
@en
prefLabel
The feasibility of automated o ...... ynamics in aquatic ecosystems.
@ast
The feasibility of automated o ...... ynamics in aquatic ecosystems.
@en
P2093
P2860
P356
P1476
The feasibility of automated o ...... ynamics in aquatic ecosystems.
@en
P2093
Bradley E Kratochvil
Frederik Hammes
Jürg A Sigrist
Mathias S Weyland
Michael D Besmer
P2860
P356
10.3389/FMICB.2014.00265
P577
2014-06-02T00:00:00Z