We have measured the autofluorescence from suspensions of Pseudomonas aeruginosa in the growth medium and after one, two, and three washes. The bacterium was grown in two different media, nutrient broth and King's B broth. The bacterium was harvested after 12, 24, and 48 h of growth. The fluorescence was measured with excitation every 10 nm from 200 nm to 600 nm. The fluorescence profiles were analyzed using principal component analysis. We found that most of the information is in the first three principal components. Stark differences in the value of the first principal component were noted between the samples in broth and those with one, two, or three washings. The second and third principal components noted differences between the samples washed once and those washed two or three times. There was no significant difference between samples washed two and three times. There are small differences noted between the samples grown in the two different broths, and no differences were noted among the samples harvested at different times.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1364/ao.46.005522 | DOI Listing |
iScience
January 2025
Cognitive Neuroimaging Unit, CEA, INSERM, Université Paris-Saclay, NeuroSpin Center, 91191 Gif/Yvette, France.
Recent studies showed that humans, regardless of age, education, and culture, can extract the linear trend of a noisy scatterplot. Although this capacity looks sophisticated, it may simply reflect the extraction of the principal trend of the graph, as if the cloud of dots was processed as an oriented object. To test this idea, we trained Guinea baboons to associate arbitrary shapes with the increasing or decreasing trends of noiseless and noisy scatterplots, while varying the number of points, the noise level, and the regression slope.
View Article and Find Full Text PDFDrug Des Devel Ther
January 2025
Department of Neurosurgery, Affiliated Hospital of Jining Medical University, Jining Medical University, Jining, 272000, People's Republic of China.
Background: Corilagin is widely distributed in various medicinal plants. In recent years, numerous pharmacological activities of Corilagin have been reported, including anti-inflammatory, antiviral, hepatoprotective, anti-tumor, and anti-fibrosis effects. However, there is still a need for systematic metabolomics analysis to further elucidate its mechanisms of action.
View Article and Find Full Text PDFBioinform Adv
January 2025
Digital Technologies Research Centre, National Research Council of Canada, Ottawa, ON K1K 4P7, Canada.
Motivation: Missing values are prevalent in high-throughput measurements due to various experimental or analytical reasons. Imputation, the process of replacing missing values in a dataset with estimated values, plays an important role in multivariate and machine learning analyses. The three missingness patterns, including missing completely at random, missing at random, and missing not at random, describe unique dependencies between the missing and observed data.
View Article and Find Full Text PDFPhytoKeys
January 2025
University of California, Riverside, USA University of California Riverside United States of America.
While investigating the potential for species to hybridize in the mixed populations of Point Sal and Burton Mesa in Santa Barbara County, California, we discovered that from the Nipomo Mesa (San Luis Obispo County), formerly considered a northern population of , are genetically and morphologically distinct. We name this new taxon after the ytt (Northern Chumash language) word for the Nipomo Mesa region. For morphological and molecular analyses, we sampled 54 plants, focusing on , , and from multiple species and comparative single species populations.
View Article and Find Full Text PDFAlzheimer's disease (AD) is the most common form of dementia in elderly, affecting 6.9 million individuals in the United States. Some studies have suggested the prevalence of AD is greater in individuals who self-identify as Hispanic.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!