Microbial analysis at the single-cell level: tasks and techniques.
about
Single-cell microbiology: tools, technologies, and applications.Recent Advances on Multi-Parameter Flow Cytometry to Characterize Antimicrobial TreatmentsNon-Invasive Microbial Metabolic Activity Sensing at Single Cell Level by Perfusion of Calcein Acetoxymethyl EsterStudies of Antibiotic Resistance of Beta-Lactamase Bacteria under Different Nutrition Limitations at the Single-Cell LevelAn automatic system to study sperm motility and energetics.Physiological response of Bacillus cereus vegetative cells to simulated food processing treatments.Genetic diversity of viable, injured, and dead fecal bacteria assessed by fluorescence-activated cell sorting and 16S rRNA gene analysis.Condition-dependent cell volume and concentration of Escherichia coli to facilitate data conversion for systems biology modeling.Single cell genomic study of Dehalococcoidetes species from deep-sea sediments of the Peruvian Margin.Applications of flow cytometry to characterize bacterial physiological responsesDetection of bacteria carrying the stx2 gene by in situ loop-mediated isothermal amplification.Acid tolerance of Streptococcus macedonicus as assessed by flow cytometry and single-cell sortingPhotophysiology and primary production of phytoplankton in freshwater.Xenobiotics shape the physiology and gene expression of the active human gut microbiome.Optical-fiber bundles.Impact of spontaneous prophage induction on the fitness of bacterial populations and host-microbe interactions.Multidimensional single-cell analysis based on fluorescence microscopy and automated image analysis.Reevaluating multicolor flow cytometry to assess microbial viability.Multiparametric flow cytometry and cell sorting for the assessment of viable, injured, and dead bifidobacterium cells during bile salt stress.In vitro activities of 7-substituted 9-chloro and 9-amino-2-methoxyacridines and their bis- and tetra-acridine complexes against Leishmania infantumDetermination of the viability of Aeromonas hydrophila in different types of water by flow cytometry, and comparison with classical methods.Bacteria in solitary confinement.Subpopulation-proteomics reveal growth rate, but not cell cycling, as a major impact on protein composition in Pseudomonas putida KT2440.Flow-cytometric cell sorting and subsequent molecular analyses for culture-independent identification of bacterioplankton involved in dimethylsulfoniopropionate transformations.Insights into the Mode of Action of the Sactibiotic Thuricin CD.Development and application of flow-cytometric techniques for analyzing and sorting endospore-forming clostridia.Monitoring changes in membrane polarity, membrane integrity, and intracellular ion concentrations in Streptococcus pneumoniae using fluorescent dyesRapid detection of the top six non-O157 Shiga toxin-producing Escherichia coli O groups in ground beef by flow cytometryHeterogeneity in Pure Microbial Systems: Experimental Measurements and Modeling.Heterogeneity of stress gene expression and stress resistance among individual cells of Saccharomyces cerevisiae.Cellular effects of monohydrochloride of L-arginine, N-lauroyl ethylester (LAE) on exposure to Salmonella typhimurium and Staphylococcus aureus.Flow cytometry to assess biochemical pathways in heat-stressed Cronobacter spp. (formerly Enterobacter sakazakii).Stripping flow cytometry: How many detectors do we need for bacterial identification?On-line SERS detection of single bacterium using novel SERS nanoprobes and a microfluidic dielectrophoresis device.Amphotericin B and fluconazole susceptibility of Candida species determined by cell-chip technology.The use of fluorescent techniques in combination with flow cytometry for fast counting of ATCC BAA-2753 in BIFICO capsuleAir sampling to assess potential generation of aerosolized viable bacteria during flow cytometric analysis of unfixed bacterial suspensionsAssessment of morphological changes of Clostridium acetobutylicum by flow cytometry during acetone/butanol/ethanol extractive fermentationRapid Antibiotic Susceptibility Determination for Yersinia pestis Using Flow Cytometry Spectral Intensity Ratio (SIR) Fluorescence Analysis
P2860
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P2860
Microbial analysis at the single-cell level: tasks and techniques.
description
2000 nî lūn-bûn
@nan
2000 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2000 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2000年の論文
@ja
2000年論文
@yue
2000年論文
@zh-hant
2000年論文
@zh-hk
2000年論文
@zh-mo
2000年論文
@zh-tw
2000年论文
@wuu
name
Microbial analysis at the single-cell level: tasks and techniques.
@ast
Microbial analysis at the single-cell level: tasks and techniques.
@en
Microbial analysis at the single-cell level: tasks and techniques.
@nl
type
label
Microbial analysis at the single-cell level: tasks and techniques.
@ast
Microbial analysis at the single-cell level: tasks and techniques.
@en
Microbial analysis at the single-cell level: tasks and techniques.
@nl
prefLabel
Microbial analysis at the single-cell level: tasks and techniques.
@ast
Microbial analysis at the single-cell level: tasks and techniques.
@en
Microbial analysis at the single-cell level: tasks and techniques.
@nl
P1476
Microbial analysis at the single-cell level: tasks and techniques.
@en
P2093
Shapiro HM
P356
10.1016/S0167-7012(00)00167-6
P577
2000-09-01T00:00:00Z