Accuri analysis software

Manufactured by BD

The BD Accuri analysis software is a data analysis tool designed for use with BD Accuri flow cytometry instruments. It provides users with the ability to analyze and visualize data generated from flow cytometry experiments.

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Lab products found in correlation

Accuri c6 flow cytometer, by BD (4 mentions)

Close spelling variants of this product

BD Accuri CFlow Plus Analysis software BD Accuri™ C6 analysis software BD Accuri software BD Accuri

4 protocols using accuri analysis software

Flow Cytometric Analysis of Granulocytes

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Cell preparations were acquired using an Accuri C6 flow cytometer (BD Accuri Cytometers, Ann Arbor, MI) equipped with two lasers providing excitation at 488 and 640 nm, and four band‐pass filters (FL1: 533/30, FL2: 585/40, FL3 670LP, FL4: 675/25). Events were recorded based on size (forward scatter area; FSC‐A), complexity (side scatter area; SSC‐A), and mean fluorescence intensity (MFI). A total of 200 μL were collected for each sample, which ensured at least 10,000 CD66b+ events.
Analysis was completed using BD Accuri analysis software (BD Accuri Cytometers). Events were initially gated based on side scatter height (SSC‐H) and SSC‐A as a multiplet cell exclusion criteria (Fig. 2A). Granulocytes were then determined by CD66b+ staining compared to an unstained control (Fig. 2B and C). MFI of CD11b was then determined for CD66b+ granulocytes (Fig. 2D). CD66b+ granulocytes are expressed as a percent of total leukocytes following multiplet exclusion.

Jajtner A.R., Hoffman J.R., Townsend J.R., Beyer K.S., Varanoske A.N., Church D.D., Oliveira L.P., Herrlinger K.A., Radom‐Aizik S., Fukuda D.H, & Stout J.R. (2016). The effect of polyphenols on cytokine and granulocyte response to resistance exercise. Physiological Reports, 4(24), e13058.

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Flow Cytometry Analysis of IGF-1R Expression

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Flow cytometry analysis of stained cells was performed on a BD C6 Accuri flow cytometer (BD Biosciences, San Jose, CA) equipped with BD Accuri analysis software (BD Biosciences). Cell scatter and fluorescence were collected using two lasers providing excitation at 488 and 640 nm. Leukocyte populations (monocytes, granulocytes, and lymphocytes) were gated (Fig. 1) using forward scatter versus side scatter, as previously described ( 13 ). Gating was set to exclude dead cell debris. A minimum of 10,000 cells per gate were obtained with each sample. Analysis of CD221+ cell subpopulations was completed by quadrant analyses. Mean fluorescence intensity (MFI) of CD221+ on cell populations was recorded, representing the mean density of IGF-1R per cell. To control for fluorescence spillover, correction subtraction values were applied when necessary as per manufacturer instructions (BD Biosciences). Data are reported as the percent of CD221+ positive cells and MFI of CD221 on positively stained cells.

Fragala M.S., Jajtner A.R., Townsend J.R., Gonzalez A.M., Wells A.J., Oliveira L.P., Hoffman J.R., Stout J.R, & Fukuda D.H. (2015). Leukocyte IGF-1 receptor expression during muscle recovery. Medicine and science in sports and exercise, 47(1).

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Flow Cytometry Analysis of Monocytes

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Flow cytometry analysis of stained cells was run on a BD C6 Accuri Flow Cytometer (BD Biosciences, San Jose, CA), equipped with BD Accuri analysis software (BD Biosciences). Forward and side scatter along with two fluorescent channels of data were collected using two lasers providing excitation at 488 and 640 nm. Monocytes were determined by initial gating based on forward and side scatter, followed by gating for CD14⁺ cells as also described by Tallone and colleagues [24 (link)]. A minimum of 10,000 events, defined as CD14⁺ monocytes, was obtained with each sample (Figure 1).
Analysis of monocyte subpopulations was completed by quadrant analyses, in which CD14 was compared with CR3. Mean fluorescence of CR3 on CD14+ cells was recorded, representing the expression of CR3 per cell [25 (link)]. Proportion of CR3+/CD14+ versus CR3−/CD14+ were determined by quadrant analysis (Figure 1). Compensation for fluorescence spillover was set based on manufacturer recommendations (BD Biosciences).

Jajtner A.R., Fragala M.S., Townsend J.R., Gonzalez A.M., Wells A.J., Fukuda D.H., Stout J.R, & Hoffman J.R. (2014). Mediators of Monocyte Migration in Response to Recovery Modalities following Resistance Exercise. Mediators of Inflammation, 2014, 145817.

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Monocyte Subpopulation Analysis via Flow Cytometry

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Flow cytometry analysis of stained cells was performed on a C6 Accuri Flow Cytometer (BD Biosciences); equipped with BD Accuri analysis software (BD Biosciences). Forward and side scatter along with four fluorescent channels of data were collected using two lasers providing excitation at 488 and 640 nm. Monocytes were determined by initial gating based on forward and side scatter, followed by gating for CD14+ cells as also described by Tallone et al. (2011 (link)). A minimum of 10,000 events, defined as CD14+ monocytes, were obtained with each sample. Analysis of monocyte subpopulations was completed by quadrant analyses, in which CD14 was compared with CD120a. Mean fluorescence of CD120a was recorded, representing the mean density of receptors per cell.

Townsend J.R., Hoffman J.R., Fragala M.S., Jajtner A.R., Gonzalez A.M., Wells A.J., Mangine G.T., Fukuda D.H, & Stout J.R. (2015). TNF-α and TNFR1 responses to recovery therapies following acute resistance exercise. Frontiers in Physiology, 6, 48.

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