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Cell confinement states are quantitatively characterized using an automated single-cell bioimage data analysis workflow.
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Briefly, single CD19+CD27- and CD19+CD27+ cells were sorted into wells of 96-well plates using a FACStar Plus flow cytometer with an automated single cell deposit unit (Beckton-Dickinson, USA).
To explore this quantitatively, we used automated single-cell tracking using a previously developed algorithm to compare a large number of single-cell time courses from S. typhimurium and E. coli (Supporting Information).
Here, we used combinatorial RNA interference and automated single-cell phenotyping to generate a large genetic interaction map for 21 phenotypic features of Drosophila cells.
Images in the adult were obtained using an experimental protocol similar to the approach described in previous work that performed automated single-cell annotation to obtain high-resolution gene expression data in the larval worm (Liu et al., 2009).
In fluorescence microscopy of eukaryotic cells, automated single-cell quantification can be achieved using multiple fluorescent probes and channels in a single experiment.
Automated single-cell image quantification was performed using CellProfile (Broad Institute— Carpenter et al, 2006).
Cells in a randomly distributed population were individually examined by finding the cell coordinates using optical microscopy and performing automated single cell MALDI-TOF MS analysis.
The system performance was evaluated using an automated dummy cell connected to the PU.
The RDW value, hemoglobin (HB), mean cell volume (MCV), platelet, and white blood cell (WBC) were determined using an automated blood cell counter with an automated hematology analyzer XE-2100 (Sysmex Corporation, Kobe, Japan).
Using an automated blood cell analyser (Sysmex SE 2100), the authors investigated the time-dependent effect of magnesium- and EDTA-anticoagulation on blood cell enumeration and automated WBC differentiation in patients with PTCP.
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