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369 results for “droplet”
High-throughput combinatorial droplet generation by sequential spraying: Fig 4, Antagonism, Antagonsim Assay (Part 22)
<p>Fluorescent and darkfield images for the antagonism assay droplets of Figure 4 of "High-throughput combinatorial droplet generation by sequential spraying." Accompanying code is found at https://github.com/RenaFukuda99/High-throughput-combinatorial-droplet-generation-by-sequential-spraying. </p>
High-throughput combinatorial droplet generation by sequential spraying: Fig 4, Synergism, Tobramycin (Part 1)
<p>Fluorescent and darkfield images for the synergism tobramycin (single antibiotic) droplets of Figure 4 of "High-throughput combinatorial droplet generation by sequential spraying." Accompanying code is found at https://github.com/RenaFukuda99/High-throughput-combinatorial-droplet-generation-by-sequential-spraying. </p>
High-throughput combinatorial droplet generation by sequential spraying: Fig 4, Synergism, Vancomycin (Part 1)
<p>Fluorescent and darkfield images for the synergism vancomycin (single antibiotic) droplets of Figure 4 of "High-throughput combinatorial droplet generation by sequential spraying." Accompanying code is found at https://github.com/RenaFukuda99/High-throughput-combinatorial-droplet-generation-by-sequential-spraying. </p>
High-throughput combinatorial droplet generation by sequential spraying: Fig 2, Alexa Fluor 594
<p>Images for figure 2 for Alexa Fluor portion of of "High-throughput combinatorial droplet generation by sequential spraying," with accomanying code at https://github.com/RenaFukuda99/High-throughput-combinatorial-droplet-generation-by-sequential-spraying. </p>
High-throughput combinatorial droplet generation by sequential spraying: Figure 3
<p>Data for Figure 3 of "High-throughput combinatorial droplet generation by sequential spraying. " Includes .tif images - accompanying MATLAB script is on GitHub at https://github.com/RenaFukuda99/High-throughput-combinatorial-droplet-generation-by-sequential-spraying. </p>
In-Droplet Electrophoretic Separation and Enrichment of Biomolecules
<p>Data underlying the figures in the publication “In-Droplet Electrophoretic Separation and Enrichment of Biomolecules”, published in <em>Anal. Chem.</em> <strong>2020</strong>, 92, 12, 8414–8421.</p> <p><a href="https://pubs.acs.org/doi/10.1021/acs.analchem.0c01044">https://pubs.acs.org/doi/10.1021/acs.analchem.0c01044</a></p> <p>Table of contents:</p> <p><strong>1. Figure 2 – Analyte Enrichement</strong>; Zip. archive containing (1) experimental videos of in-droplet separation for nine analytes at different electric fields, (2) the extracted fluorescence intensity values of the videos, and (3) the average enrichment factor.</p> <p><strong>2. Figure 3 – Electrode Length</strong>; Zip. archive containing (1) experimental videos of in-droplet separation when (a) HPMC, (b) buffers with different ionic strengths, and (c) different analyte concentrations are used, (2) the extracted fluorescence intensity values of the videos, and (3) the average enrichment factor.</p> <p><strong>3. Figure 4 – Extra Parameters</strong>; Zip. archive containing (1) experimental videos of in-droplet separation when (a) HPMC, (b) buffers with different ionic strengths, and (c) different analyte concentrations are used, (2) the extracted fluorescence intensity values of the videos, and (3) the average enrichment factor.</p> <p><strong>4. Figure 5 – Size and Velocity</strong>; Zip. archive containing (1) experimental videos of in-droplet separation for dichlorofluorescein at different droplet geometries and velocities, (2) the extracted fluorescence intensity values of the videos, and (3) the average enrichment factor.</p> <p><strong>5. Figure 6 – Mass Spectrometry</strong>; Zip. archive containing the mass spectrum of anodic and cathodic droplets after the in-droplet separation and splitting.</p> <p> </p> <p> </p>
Droplet digital PCR (ddPCR) as a tool for investigating dynamics of cryptic symbionts
<p>Interactions among symbiotic organisms and their hosts are major drivers of ecological and evolutionary processes. Monitoring the infection patterns among natural populations and identifying factors affecting these interactions is critical for understanding symbiont-host relationships. However, many of these interactions remain understudied since the knowledge about the symbiont species is lacking and hinders the development of appropriate tools. In this study, we developed a digital droplet PCR (ddPCR) assay based on apicomplexan COX1 gene to detect an undescribed agamococcidian symbiont. We show that the method gives precise and reproducible results and enables detecting cryptic symbionts in low target concentration. We further exemplify the assay's use to survey seasonally sampled natural host (Pygospio elegans) populations for symbiont infection dynamics. We found that symbiont prevalence differs spatially but does not show seasonal changes. Infection load differed between populations and was low in spring and significantly increased towards fall in all populations. We also found that the symbiont prevalence is affected by host length and population density. Larger hosts were more likely to be infected and high host densities were found to have lower probability of infection. The observed variations could be due to characteristics of both symbiont and host biology, especially the seasonal variation in encounter rates. Our findings show that the developed ddPCR assay is a robust tool for detecting undescribed symbionts that are otherwise difficult to quantify, enabling further insight into the impact cryptic symbionts have on their hosts.</p>
Data Supplement for "Wettability Gradient-Driven Droplets with an Applied External Force"
<p>Data set and python code to recreate the figures of "Wettability Gradient-Driven Droplets with an Applied External Force".</p>
Data from: Drop it all: Extraction-free detection of non-indigenous marine species through optimized direct-droplet digital PCR
<p>Molecular biosecurity surveillance programs increasingly use environmental DNA (eDNA) for detecting marine non-indigenous species (NIS). However, the current molecular detection workflow is cumbersome, prone to errors and delays, and is limited in providing knowledge about eDNA beyond the spatial and temporal extent of the sampling. These limitations can hinder management efforts and restrict the "opportunity window" for a rapid response to new marine NIS incursions. Emerging innovative field-deployable digital droplet PCR (ddPCR) systems offer improved workflow efficiency by autonomously analyzing targeted free-floating extra-cellular eDNA (free-eDNA) signals. Despite their potential, these systems have not been tested in marine environments. Thus, an aquarium study was conducted with three distinct marine NIS: <span>the Mediterranean fanworm <em>Sabella spallanzanii</em>, the ascidian clubbed tunicate <em>Styela clava</em>, and the brown bryozoan <em>Bugula neritina</em></span> to evaluate the detectability of free-eDNA in seawater. The detectability of targeted free-eDNA was assessed by directly analyzing aquarium water samples using an optimized species-specific ddPCR assay, without filtration or DNA extraction, so-called, "direct-ddPCR". The results demonstrated the consistent detection of <em>Sabella spallanzanii</em> and <em>Bugula neritina</em> free-eDNA when these organisms were present in high abundance. Once organisms were removed, the free-eDNA signal exponentially declined, noting that free-eDNA persisted between 24-72 hours. Results indicate that organism biomass, specimen characteristics (e.g., stress and viability), and species-specific biological differences may influence free-eDNA detectability. These results are critical for implementing <em>in-situ</em> nucleic acid automated continuous sensing systems for marine biosurveillance, enabling point-of-need detection and <span>rapid management response to biosecurity threats. </span></p>
The redox mediated – scanning droplet cell system for evaluation of the solid electrolyte interphase in Li-ion batteries
<p>Dataset of articles "The redox mediated – scanning droplet cell system for evaluation of the solid electrolyte interphase in i-ion batteries"</p>
Drop it all: Extraction-free detection of non-indigenous marine species through optimized direct-droplet digital PCR
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Microfluidic droplet application for bacterial surveillance in fresh-cut produce wash waters
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Adhesive droplets made from plant-derived oils for control of western flower thrips
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Droplet digital PCR (ddPCR) as a tool for investigating dynamics of cryptic symbionts
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Droplet characteristics as a function of experimental parameters in electrospray deposition
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Contact angle measurements of droplets on the mandibles of antlions
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Data from: Running in the rain: Impact of water droplets on tandem running recruitment in a tropical ant
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Data from: Deterministic cell pairing with simultaneous microfluidic merging and sorting of droplets
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Data supplement for "Thin-Film Modeling of Resting and Moving Active Droplets"
<p>This dataset contains the data and source files for figures 4-10, 12, and 14-20 in the following publication: </p> <p>S. Trinschek, F. Stegemerten, K. John and U. Thiele</p> <p><em>"Thin-Film Modeling of Resting and Moving Active Droplets"</em></p> <p>published in 2020 in Physical Review E.</p> <p>Please follow the instructions given in 'Readme.txt'.</p>
9-10-1288 Does the viscosity of the sub-phase effect the oxidation kinetics of surface active films on "glassy" cloud droplets
<p>Binned Neutron reflectivity data for the titled experiment.</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.