version 10 0 Search Results


stata v10  (STATA Corporation)
99
STATA Corporation stata v10
Stata V10, 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/result/stata v10/product/STATA Corporation
Average 99 stars, based on 1 article reviews
stata v10 - by Bioz Stars, 2026-06
99/100 stars
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vina version 10.0.22000.1219  (AUTODOCK GmbH)
90
AUTODOCK GmbH vina version 10.0.22000.1219
Vina Version 10.0.22000.1219, supplied by AUTODOCK GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/vina version 10.0.22000.1219/product/AUTODOCK GmbH
Average 90 stars, based on 1 article reviews
vina version 10.0.22000.1219 - by Bioz Stars, 2026-06
90/100 stars
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spectral-domain optical coherence tomography heidelberg eye explorer version 1.9.10.0  (heidelberg engineering)
90
heidelberg engineering spectral-domain optical coherence tomography heidelberg eye explorer version 1.9.10.0
Spectral Domain Optical Coherence Tomography Heidelberg Eye Explorer Version 1.9.10.0, supplied by heidelberg engineering, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/spectral-domain optical coherence tomography heidelberg eye explorer version 1.9.10.0/product/heidelberg engineering
Average 90 stars, based on 1 article reviews
spectral-domain optical coherence tomography heidelberg eye explorer version 1.9.10.0 - by Bioz Stars, 2026-06
90/100 stars
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dynamic population model stella version 10.0.2  (High Performance Systems Inc)
90
High Performance Systems Inc dynamic population model stella version 10.0.2
Dynamic Population Model Stella Version 10.0.2, supplied by High Performance Systems Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/dynamic population model stella version 10.0.2/product/High Performance Systems Inc
Average 90 stars, based on 1 article reviews
dynamic population model stella version 10.0.2 - by Bioz Stars, 2026-06
90/100 stars
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arcgis software arcgis locator version 10.0  (Esri inc)
90
Esri inc arcgis software arcgis locator version 10.0
Arcgis Software Arcgis Locator Version 10.0, supplied by Esri inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/arcgis software arcgis locator version 10.0/product/Esri inc
Average 90 stars, based on 1 article reviews
arcgis software arcgis locator version 10.0 - by Bioz Stars, 2026-06
90/100 stars
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statistical software program gb-stat version 10.0  (Dynamic Microsystems Inc)
90
Dynamic Microsystems Inc statistical software program gb-stat version 10.0
Statistical Software Program Gb Stat Version 10.0, supplied by Dynamic Microsystems Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/statistical software program gb-stat version 10.0/product/Dynamic Microsystems Inc
Average 90 stars, based on 1 article reviews
statistical software program gb-stat version 10.0 - by Bioz Stars, 2026-06
90/100 stars
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software version 10.0  (Becton Dickinson)
90
Becton Dickinson software version 10.0
Gating Strategy. We first gated total leukocytes on a time/side scatter density plot and selected the Zombie UV negative cell population for detecting living cells. Next, we gated living cells for singlets on a forward scatter/trigger pulse width density plot. After recognizing cells by size and granularity, we selected monocytes on the HLA-DR gate. Then, we gated monocytes using the rectangular gating strategy on the CD14 + /CD16 + cell population to identify CD14 ++ CD16 − cells as classical monocytes, CD14 ++ CD16 + cells as intermediate monocytes, and CD14 + CD16 + cells as nonclassical monocytes . We obtained the median fluorescence intensity (MFI) for CCR2 by considering both positive and negative cell populations. We got the CCR2 + cell percentage using fluorescence minus one (FMO) control. For each fluorochrome, we used compensation controls through UltraComp eBeads TM (Invitrogen TM , Carlsbad, CA, USA). We analyzed data by the <t>FlowJo</t> 10.0.7 software (TreeStar, Inc., Ashland, OR, USA).
Software Version 10.0, supplied by Becton Dickinson, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/software version 10.0/product/Becton Dickinson
Average 90 stars, based on 1 article reviews
software version 10.0 - by Bioz Stars, 2026-06
90/100 stars
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statistical software version 10.0.2.0  (MedCalc Software Ltd)
90
MedCalc Software Ltd statistical software version 10.0.2.0
Gating Strategy. We first gated total leukocytes on a time/side scatter density plot and selected the Zombie UV negative cell population for detecting living cells. Next, we gated living cells for singlets on a forward scatter/trigger pulse width density plot. After recognizing cells by size and granularity, we selected monocytes on the HLA-DR gate. Then, we gated monocytes using the rectangular gating strategy on the CD14 + /CD16 + cell population to identify CD14 ++ CD16 − cells as classical monocytes, CD14 ++ CD16 + cells as intermediate monocytes, and CD14 + CD16 + cells as nonclassical monocytes . We obtained the median fluorescence intensity (MFI) for CCR2 by considering both positive and negative cell populations. We got the CCR2 + cell percentage using fluorescence minus one (FMO) control. For each fluorochrome, we used compensation controls through UltraComp eBeads TM (Invitrogen TM , Carlsbad, CA, USA). We analyzed data by the <t>FlowJo</t> 10.0.7 software (TreeStar, Inc., Ashland, OR, USA).
Statistical Software Version 10.0.2.0, supplied by MedCalc Software Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/statistical software version 10.0.2.0/product/MedCalc Software Ltd
Average 90 stars, based on 1 article reviews
statistical software version 10.0.2.0 - by Bioz Stars, 2026-06
90/100 stars
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jmp® version 10.0.4  (SAS institute)
90
SAS institute jmp® version 10.0.4
Gating Strategy. We first gated total leukocytes on a time/side scatter density plot and selected the Zombie UV negative cell population for detecting living cells. Next, we gated living cells for singlets on a forward scatter/trigger pulse width density plot. After recognizing cells by size and granularity, we selected monocytes on the HLA-DR gate. Then, we gated monocytes using the rectangular gating strategy on the CD14 + /CD16 + cell population to identify CD14 ++ CD16 − cells as classical monocytes, CD14 ++ CD16 + cells as intermediate monocytes, and CD14 + CD16 + cells as nonclassical monocytes . We obtained the median fluorescence intensity (MFI) for CCR2 by considering both positive and negative cell populations. We got the CCR2 + cell percentage using fluorescence minus one (FMO) control. For each fluorochrome, we used compensation controls through UltraComp eBeads TM (Invitrogen TM , Carlsbad, CA, USA). We analyzed data by the <t>FlowJo</t> 10.0.7 software (TreeStar, Inc., Ashland, OR, USA).
Jmp® Version 10.0.4, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/jmp® version 10.0.4/product/SAS institute
Average 90 stars, based on 1 article reviews
jmp® version 10.0.4 - by Bioz Stars, 2026-06
90/100 stars
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jmp version 10.0.2  (SAS institute)
90
SAS institute jmp version 10.0.2
Gating Strategy. We first gated total leukocytes on a time/side scatter density plot and selected the Zombie UV negative cell population for detecting living cells. Next, we gated living cells for singlets on a forward scatter/trigger pulse width density plot. After recognizing cells by size and granularity, we selected monocytes on the HLA-DR gate. Then, we gated monocytes using the rectangular gating strategy on the CD14 + /CD16 + cell population to identify CD14 ++ CD16 − cells as classical monocytes, CD14 ++ CD16 + cells as intermediate monocytes, and CD14 + CD16 + cells as nonclassical monocytes . We obtained the median fluorescence intensity (MFI) for CCR2 by considering both positive and negative cell populations. We got the CCR2 + cell percentage using fluorescence minus one (FMO) control. For each fluorochrome, we used compensation controls through UltraComp eBeads TM (Invitrogen TM , Carlsbad, CA, USA). We analyzed data by the <t>FlowJo</t> 10.0.7 software (TreeStar, Inc., Ashland, OR, USA).
Jmp Version 10.0.2, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/jmp version 10.0.2/product/SAS institute
Average 90 stars, based on 1 article reviews
jmp version 10.0.2 - by Bioz Stars, 2026-06
90/100 stars
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design-expert trial version 10.0  (SAS institute)
90
SAS institute design-expert trial version 10.0
Gating Strategy. We first gated total leukocytes on a time/side scatter density plot and selected the Zombie UV negative cell population for detecting living cells. Next, we gated living cells for singlets on a forward scatter/trigger pulse width density plot. After recognizing cells by size and granularity, we selected monocytes on the HLA-DR gate. Then, we gated monocytes using the rectangular gating strategy on the CD14 + /CD16 + cell population to identify CD14 ++ CD16 − cells as classical monocytes, CD14 ++ CD16 + cells as intermediate monocytes, and CD14 + CD16 + cells as nonclassical monocytes . We obtained the median fluorescence intensity (MFI) for CCR2 by considering both positive and negative cell populations. We got the CCR2 + cell percentage using fluorescence minus one (FMO) control. For each fluorochrome, we used compensation controls through UltraComp eBeads TM (Invitrogen TM , Carlsbad, CA, USA). We analyzed data by the <t>FlowJo</t> 10.0.7 software (TreeStar, Inc., Ashland, OR, USA).
Design Expert Trial Version 10.0, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/design-expert trial version 10.0/product/SAS institute
Average 90 stars, based on 1 article reviews
design-expert trial version 10.0 - by Bioz Stars, 2026-06
90/100 stars
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statistics package social version 10.0  (SPSS Inc)
90
SPSS Inc statistics package social version 10.0
Gating Strategy. We first gated total leukocytes on a time/side scatter density plot and selected the Zombie UV negative cell population for detecting living cells. Next, we gated living cells for singlets on a forward scatter/trigger pulse width density plot. After recognizing cells by size and granularity, we selected monocytes on the HLA-DR gate. Then, we gated monocytes using the rectangular gating strategy on the CD14 + /CD16 + cell population to identify CD14 ++ CD16 − cells as classical monocytes, CD14 ++ CD16 + cells as intermediate monocytes, and CD14 + CD16 + cells as nonclassical monocytes . We obtained the median fluorescence intensity (MFI) for CCR2 by considering both positive and negative cell populations. We got the CCR2 + cell percentage using fluorescence minus one (FMO) control. For each fluorochrome, we used compensation controls through UltraComp eBeads TM (Invitrogen TM , Carlsbad, CA, USA). We analyzed data by the <t>FlowJo</t> 10.0.7 software (TreeStar, Inc., Ashland, OR, USA).
Statistics Package Social Version 10.0, supplied by SPSS Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/statistics package social version 10.0/product/SPSS Inc
Average 90 stars, based on 1 article reviews
statistics package social version 10.0 - by Bioz Stars, 2026-06
90/100 stars
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Image Search Results


Gating Strategy. We first gated total leukocytes on a time/side scatter density plot and selected the Zombie UV negative cell population for detecting living cells. Next, we gated living cells for singlets on a forward scatter/trigger pulse width density plot. After recognizing cells by size and granularity, we selected monocytes on the HLA-DR gate. Then, we gated monocytes using the rectangular gating strategy on the CD14 + /CD16 + cell population to identify CD14 ++ CD16 − cells as classical monocytes, CD14 ++ CD16 + cells as intermediate monocytes, and CD14 + CD16 + cells as nonclassical monocytes . We obtained the median fluorescence intensity (MFI) for CCR2 by considering both positive and negative cell populations. We got the CCR2 + cell percentage using fluorescence minus one (FMO) control. For each fluorochrome, we used compensation controls through UltraComp eBeads TM (Invitrogen TM , Carlsbad, CA, USA). We analyzed data by the FlowJo 10.0.7 software (TreeStar, Inc., Ashland, OR, USA).

Journal: Journal of Cardiovascular Development and Disease

Article Title: The CCR2 + Monocyte Subsets Increase in Obese Boys but Not Girls with Abnormally High Carotid Intima-Media Thickness: A Pilot Study

doi: 10.3390/jcdd9100330

Figure Lengend Snippet: Gating Strategy. We first gated total leukocytes on a time/side scatter density plot and selected the Zombie UV negative cell population for detecting living cells. Next, we gated living cells for singlets on a forward scatter/trigger pulse width density plot. After recognizing cells by size and granularity, we selected monocytes on the HLA-DR gate. Then, we gated monocytes using the rectangular gating strategy on the CD14 + /CD16 + cell population to identify CD14 ++ CD16 − cells as classical monocytes, CD14 ++ CD16 + cells as intermediate monocytes, and CD14 + CD16 + cells as nonclassical monocytes . We obtained the median fluorescence intensity (MFI) for CCR2 by considering both positive and negative cell populations. We got the CCR2 + cell percentage using fluorescence minus one (FMO) control. For each fluorochrome, we used compensation controls through UltraComp eBeads TM (Invitrogen TM , Carlsbad, CA, USA). We analyzed data by the FlowJo 10.0.7 software (TreeStar, Inc., Ashland, OR, USA).

Article Snippet: We analyzed monocyte subpopulations using the FlowJo software version 10.0.

Techniques: Fluorescence, Software