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High-throughput phenotypic analysis. Screening steps ( A ). Pipetting steps were performed using a liquid handling robot. Strains were cultivated <t>in</t> <t>96-well</t> microplates with optical density readings (600 nm) in regular intervals. Data analysis and curve fitting steps were performed in R (tidyverse, FactoMineR, growthcurver) and further with PCA and hierarchical clustering. Density plot of growth rates of clinical C. glabrata isolates under ( B ) different temperatures and ( C ) different levels of osmotic stress. Population spread was determined by calculating mean absolute deviation for each condition ( D ).
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High-throughput phenotypic analysis. Screening steps ( A ). Pipetting steps were performed using a liquid handling robot. Strains were cultivated <t>in</t> <t>96-well</t> microplates with optical density readings (600 nm) in regular intervals. Data analysis and curve fitting steps were performed in R (tidyverse, FactoMineR, growthcurver) and further with PCA and hierarchical clustering. Density plot of growth rates of clinical C. glabrata isolates under ( B ) different temperatures and ( C ) different levels of osmotic stress. Population spread was determined by calculating mean absolute deviation for each condition ( D ).
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High-throughput phenotypic analysis. Screening steps ( A ). Pipetting steps were performed using a liquid handling robot. Strains were cultivated <t>in</t> <t>96-well</t> microplates with optical density readings (600 nm) in regular intervals. Data analysis and curve fitting steps were performed in R (tidyverse, FactoMineR, growthcurver) and further with PCA and hierarchical clustering. Density plot of growth rates of clinical C. glabrata isolates under ( B ) different temperatures and ( C ) different levels of osmotic stress. Population spread was determined by calculating mean absolute deviation for each condition ( D ).
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High-throughput phenotypic analysis. Screening steps ( A ). Pipetting steps were performed using a liquid handling robot. Strains were cultivated <t>in</t> <t>96-well</t> microplates with optical density readings (600 nm) in regular intervals. Data analysis and curve fitting steps were performed in R (tidyverse, FactoMineR, growthcurver) and further with PCA and hierarchical clustering. Density plot of growth rates of clinical C. glabrata isolates under ( B ) different temperatures and ( C ) different levels of osmotic stress. Population spread was determined by calculating mean absolute deviation for each condition ( D ).
96 Deep Well Plates, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/96 deep well plates/product/Thermo Fisher
Average 94 stars, based on 1 article reviews
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94/100 stars
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deep plate  (Guangzhou JET Bio-Filtration)
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High-throughput phenotypic analysis. Screening steps ( A ). Pipetting steps were performed using a liquid handling robot. Strains were cultivated <t>in</t> <t>96-well</t> microplates with optical density readings (600 nm) in regular intervals. Data analysis and curve fitting steps were performed in R (tidyverse, FactoMineR, growthcurver) and further with PCA and hierarchical clustering. Density plot of growth rates of clinical C. glabrata isolates under ( B ) different temperatures and ( C ) different levels of osmotic stress. Population spread was determined by calculating mean absolute deviation for each condition ( D ).
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96 deep well pp plate natural  (Thermo Fisher)
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High-throughput phenotypic analysis. Screening steps ( A ). Pipetting steps were performed using a liquid handling robot. Strains were cultivated <t>in</t> <t>96-well</t> microplates with optical density readings (600 nm) in regular intervals. Data analysis and curve fitting steps were performed in R (tidyverse, FactoMineR, growthcurver) and further with PCA and hierarchical clustering. Density plot of growth rates of clinical C. glabrata isolates under ( B ) different temperatures and ( C ) different levels of osmotic stress. Population spread was determined by calculating mean absolute deviation for each condition ( D ).
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High-throughput phenotypic analysis. Screening steps ( A ). Pipetting steps were performed using a liquid handling robot. Strains were cultivated in 96-well microplates with optical density readings (600 nm) in regular intervals. Data analysis and curve fitting steps were performed in R (tidyverse, FactoMineR, growthcurver) and further with PCA and hierarchical clustering. Density plot of growth rates of clinical C. glabrata isolates under ( B ) different temperatures and ( C ) different levels of osmotic stress. Population spread was determined by calculating mean absolute deviation for each condition ( D ).

Journal: mSystems

Article Title: Distinct properties of human pathogenic Candida species revealed by systematic comparative phenotypic screening of clinical isolates

doi: 10.1128/msystems.00786-25

Figure Lengend Snippet: High-throughput phenotypic analysis. Screening steps ( A ). Pipetting steps were performed using a liquid handling robot. Strains were cultivated in 96-well microplates with optical density readings (600 nm) in regular intervals. Data analysis and curve fitting steps were performed in R (tidyverse, FactoMineR, growthcurver) and further with PCA and hierarchical clustering. Density plot of growth rates of clinical C. glabrata isolates under ( B ) different temperatures and ( C ) different levels of osmotic stress. Population spread was determined by calculating mean absolute deviation for each condition ( D ).

Article Snippet: The cell suspension was then dispensed into 96-well round-bottom plates containing 100 μL YNB broth (1.7 g/L Yeast Nitrogen Base [MP Biomedicals, Germany], 2% dextrose) per well.

Techniques: High Throughput Screening Assay