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imaris 7 0 software  (Oxford Instruments)
99
Oxford Instruments imaris 7 0 software
( A ) CD4+T cell blasts were perfused in flow chambers coated with ICAM-1-containing lipid bilayers, alone or with CXCL12- or X4-gp120. Polarized cells were determined from differential interference contrast (DIC) images using ImageJ2 and Imaris 7.0 and expressed as a percentage of the total number of cells per image (mean ± SD with the mean value of each experiment (black circles) indicated; n=6; n.s. not significant; *p≤0.05; ***p≤0.001). ( B ) Cells were perfused as in ( A ) and the percentage of adhered cells was determined using the interference reflection microscopy (IRM) signal. The frequency of adhesion (IRM + cells) per image field was estimated as [n° of cells showing IRM contact/total n° of cells (estimated by DIC)]×100. More than 150 cells were analyzed of each condition. Data are shown as percentage of adhered cells. (Mean ± SD with the mean value of each experiment (black circles) indicated; n=6; *p≤0.05; ***p≤0.001). ( C ) Cells in B were analyzed for cell migration. We calculated the frequency of migration (cells showing an IRM + contact and moving over time). Data are presented as percentage of migrating cells (mean ± SD with the mean value of each experiment (black circles) indicated; n=6; n.s.=not significant; **p≤0.01; *** p≤0.001). Statistical significance was determined by one-way ANOVA followed by Tukey’s multiple comparisons test for all panels.
Imaris 7 0 Software, supplied by Oxford Instruments, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/7%2E0+software/pmc13167113-295-0-3?v=Oxford+Instruments
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imaris 7 0 software - by Bioz Stars, 2026-06
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stata statistical software  (STATA Corporation)
99
STATA Corporation stata statistical software
( A ) CD4+T cell blasts were perfused in flow chambers coated with ICAM-1-containing lipid bilayers, alone or with CXCL12- or X4-gp120. Polarized cells were determined from differential interference contrast (DIC) images using ImageJ2 and Imaris 7.0 and expressed as a percentage of the total number of cells per image (mean ± SD with the mean value of each experiment (black circles) indicated; n=6; n.s. not significant; *p≤0.05; ***p≤0.001). ( B ) Cells were perfused as in ( A ) and the percentage of adhered cells was determined using the interference reflection microscopy (IRM) signal. The frequency of adhesion (IRM + cells) per image field was estimated as [n° of cells showing IRM contact/total n° of cells (estimated by DIC)]×100. More than 150 cells were analyzed of each condition. Data are shown as percentage of adhered cells. (Mean ± SD with the mean value of each experiment (black circles) indicated; n=6; *p≤0.05; ***p≤0.001). ( C ) Cells in B were analyzed for cell migration. We calculated the frequency of migration (cells showing an IRM + contact and moving over time). Data are presented as percentage of migrating cells (mean ± SD with the mean value of each experiment (black circles) indicated; n=6; n.s.=not significant; **p≤0.01; *** p≤0.001). Statistical significance was determined by one-way ANOVA followed by Tukey’s multiple comparisons test for all panels.
Stata Statistical Software, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/7%2E0+software/pm41904886-299-0-0?v=STATA+Corporation
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stata statistical software - by Bioz Stars, 2026-06
99/100 stars
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stata software version 17  (STATA Corporation)
99
STATA Corporation stata software version 17
( A ) CD4+T cell blasts were perfused in flow chambers coated with ICAM-1-containing lipid bilayers, alone or with CXCL12- or X4-gp120. Polarized cells were determined from differential interference contrast (DIC) images using ImageJ2 and Imaris 7.0 and expressed as a percentage of the total number of cells per image (mean ± SD with the mean value of each experiment (black circles) indicated; n=6; n.s. not significant; *p≤0.05; ***p≤0.001). ( B ) Cells were perfused as in ( A ) and the percentage of adhered cells was determined using the interference reflection microscopy (IRM) signal. The frequency of adhesion (IRM + cells) per image field was estimated as [n° of cells showing IRM contact/total n° of cells (estimated by DIC)]×100. More than 150 cells were analyzed of each condition. Data are shown as percentage of adhered cells. (Mean ± SD with the mean value of each experiment (black circles) indicated; n=6; *p≤0.05; ***p≤0.001). ( C ) Cells in B were analyzed for cell migration. We calculated the frequency of migration (cells showing an IRM + contact and moving over time). Data are presented as percentage of migrating cells (mean ± SD with the mean value of each experiment (black circles) indicated; n=6; n.s.=not significant; **p≤0.01; *** p≤0.001). Statistical significance was determined by one-way ANOVA followed by Tukey’s multiple comparisons test for all panels.
Stata Software Version 17, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/7%2E0+software/pmc12966564-138-7-7?v=STATA+Corporation
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stata software version 17 - by Bioz Stars, 2026-06
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immunospot 7 0 software  (Cellular Technology Ltd)
97
Cellular Technology Ltd immunospot 7 0 software
( A ) CD4+T cell blasts were perfused in flow chambers coated with ICAM-1-containing lipid bilayers, alone or with CXCL12- or X4-gp120. Polarized cells were determined from differential interference contrast (DIC) images using ImageJ2 and Imaris 7.0 and expressed as a percentage of the total number of cells per image (mean ± SD with the mean value of each experiment (black circles) indicated; n=6; n.s. not significant; *p≤0.05; ***p≤0.001). ( B ) Cells were perfused as in ( A ) and the percentage of adhered cells was determined using the interference reflection microscopy (IRM) signal. The frequency of adhesion (IRM + cells) per image field was estimated as [n° of cells showing IRM contact/total n° of cells (estimated by DIC)]×100. More than 150 cells were analyzed of each condition. Data are shown as percentage of adhered cells. (Mean ± SD with the mean value of each experiment (black circles) indicated; n=6; *p≤0.05; ***p≤0.001). ( C ) Cells in B were analyzed for cell migration. We calculated the frequency of migration (cells showing an IRM + contact and moving over time). Data are presented as percentage of migrating cells (mean ± SD with the mean value of each experiment (black circles) indicated; n=6; n.s.=not significant; **p≤0.01; *** p≤0.001). Statistical significance was determined by one-way ANOVA followed by Tukey’s multiple comparisons test for all panels.
Immunospot 7 0 Software, supplied by Cellular Technology Ltd, used in various techniques. Bioz Stars score: 97/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/7%2E0+software/pm41775734-235-6-9?v=Cellular+Technology+Ltd
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immunospot 7 0 software - by Bioz Stars, 2026-06
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statistical software version 17 0  (STATA Corporation)
99
STATA Corporation statistical software version 17 0
( A ) CD4+T cell blasts were perfused in flow chambers coated with ICAM-1-containing lipid bilayers, alone or with CXCL12- or X4-gp120. Polarized cells were determined from differential interference contrast (DIC) images using ImageJ2 and Imaris 7.0 and expressed as a percentage of the total number of cells per image (mean ± SD with the mean value of each experiment (black circles) indicated; n=6; n.s. not significant; *p≤0.05; ***p≤0.001). ( B ) Cells were perfused as in ( A ) and the percentage of adhered cells was determined using the interference reflection microscopy (IRM) signal. The frequency of adhesion (IRM + cells) per image field was estimated as [n° of cells showing IRM contact/total n° of cells (estimated by DIC)]×100. More than 150 cells were analyzed of each condition. Data are shown as percentage of adhered cells. (Mean ± SD with the mean value of each experiment (black circles) indicated; n=6; *p≤0.05; ***p≤0.001). ( C ) Cells in B were analyzed for cell migration. We calculated the frequency of migration (cells showing an IRM + contact and moving over time). Data are presented as percentage of migrating cells (mean ± SD with the mean value of each experiment (black circles) indicated; n=6; n.s.=not significant; **p≤0.01; *** p≤0.001). Statistical significance was determined by one-way ANOVA followed by Tukey’s multiple comparisons test for all panels.
Statistical Software Version 17 0, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/7%2E0+software/pmc12887807-128-7-6?v=STATA+Corporation
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statistical software version 17 0 - by Bioz Stars, 2026-06
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Image Search Results


( A ) CD4+T cell blasts were perfused in flow chambers coated with ICAM-1-containing lipid bilayers, alone or with CXCL12- or X4-gp120. Polarized cells were determined from differential interference contrast (DIC) images using ImageJ2 and Imaris 7.0 and expressed as a percentage of the total number of cells per image (mean ± SD with the mean value of each experiment (black circles) indicated; n=6; n.s. not significant; *p≤0.05; ***p≤0.001). ( B ) Cells were perfused as in ( A ) and the percentage of adhered cells was determined using the interference reflection microscopy (IRM) signal. The frequency of adhesion (IRM + cells) per image field was estimated as [n° of cells showing IRM contact/total n° of cells (estimated by DIC)]×100. More than 150 cells were analyzed of each condition. Data are shown as percentage of adhered cells. (Mean ± SD with the mean value of each experiment (black circles) indicated; n=6; *p≤0.05; ***p≤0.001). ( C ) Cells in B were analyzed for cell migration. We calculated the frequency of migration (cells showing an IRM + contact and moving over time). Data are presented as percentage of migrating cells (mean ± SD with the mean value of each experiment (black circles) indicated; n=6; n.s.=not significant; **p≤0.01; *** p≤0.001). Statistical significance was determined by one-way ANOVA followed by Tukey’s multiple comparisons test for all panels.

Journal: eLife

Article Title: HIV-1 envelope glycoprotein modulates CXCR4 clustering and dynamics on the T cell membrane

doi: 10.7554/eLife.110354

Figure Lengend Snippet: ( A ) CD4+T cell blasts were perfused in flow chambers coated with ICAM-1-containing lipid bilayers, alone or with CXCL12- or X4-gp120. Polarized cells were determined from differential interference contrast (DIC) images using ImageJ2 and Imaris 7.0 and expressed as a percentage of the total number of cells per image (mean ± SD with the mean value of each experiment (black circles) indicated; n=6; n.s. not significant; *p≤0.05; ***p≤0.001). ( B ) Cells were perfused as in ( A ) and the percentage of adhered cells was determined using the interference reflection microscopy (IRM) signal. The frequency of adhesion (IRM + cells) per image field was estimated as [n° of cells showing IRM contact/total n° of cells (estimated by DIC)]×100. More than 150 cells were analyzed of each condition. Data are shown as percentage of adhered cells. (Mean ± SD with the mean value of each experiment (black circles) indicated; n=6; *p≤0.05; ***p≤0.001). ( C ) Cells in B were analyzed for cell migration. We calculated the frequency of migration (cells showing an IRM + contact and moving over time). Data are presented as percentage of migrating cells (mean ± SD with the mean value of each experiment (black circles) indicated; n=6; n.s.=not significant; **p≤0.01; *** p≤0.001). Statistical significance was determined by one-way ANOVA followed by Tukey’s multiple comparisons test for all panels.

Article Snippet: Imaris 7.0 software (Bitplane, Zurich, Switzerland) and ImageJ 1.49 v were used for qualitative and quantitative analysis of cell dynamics parameters, fluorescence, and IRM signals.

Techniques: Microscopy, Migration